1,712 Science Lab jobs in the United States

Environmental Science Lab Manager

94305 Stanford, California Stanford University

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

Environmental Science Lab Manager
**Doerr School of Sustainability, Stanford, California, United States**
Research
Post Date Jul 21, 2025
Requisition # 106832
**_This position has been deemed critical by the Stanford Doerr School of Sustainability Dean's Office and is exempt from the hiring pause._**
**This position is based on Stanford's main campus. Interested candidates must include a resume and cover letter to be considered for this position.**
**This is a one-year fixed term position with the possibility of renewal dependent on programmatic need and budgetary availability.**
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
**About Us**
The Stanford Doerr School of Sustainability strives to create a future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting a community with the richness of experience and background needed to create solutions that benefit all people, particularly those most affected by environmental damage and climate change.
For more information on the school, clickhere.
The Department of Earth System Science's (ESS) goal is to understand, predict, and respond to human-caused and natural environmental change at local to global scales. ESS includes a large and growing graduate student and postdoc community.
Earth System Science is seeking a full-time researcher to help with a variety of projects supporting research investigations related to fire ecology and biogeochemistry in the Pellegrini lab Environmental Science Lab Manager will work closely with the PI and members of the research group. The core goal is to coordinate and support the establishment of the Pellegrini lab at Stanford. This will involve developing analytical pipelines in the lab as well as coordinating permits, acquiring equipment and organizing the lab as well as support analytical work.
This position will involve a combination of field and laboratory measurements, operation of analytical equipment, methods development, and general project support. In addition, the candidate should be able to work independently and to analyze problems and create solutions to them. If you seek a rewarding position in research and are highly motivated, this position may be the right opportunity for you!
**Your Responsibilities will include*:**
+ Coordinating wet lab work (purchasing and setting up equipment, designing analytical pipelines, assisting with analyses).
+ Designing and executing field and lab studies focused on climate change and fire.
+ Conducting fieldwork as campaign-based trips (e.g., Sequoia and Kings Canyon, Cedar Creek Ecosystem Science Reserve, and Kruger National Park).
+ Analyzing and interpreting research data for purposes of modeling and presentation.
+ Overseeing and managing equipment for reliability.
+ Maintaining safety standards and protocols in the lab and in the field.
_* - The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._
**To be successful in this position, you will need:**
+ Bachelors' degree and two years of experience in related scientific fields, or combination of education and relevant experience.
+ Demonstrated experience applying multidisciplinary scientific principles and practices to perform and assist with experimental design and coordinate laboratory activity.
+ Demonstrated experience with analysis and interpretation of research data, and ability to recognize irregularities and invalid results.
+ Demonstrated ability to organize data and develop models allowing for integration and display of data.
+ Basic experience with scientific software applications, systems, or programs relevant for the job.
+ Ability to coordinate and work with scientific or research staff and assist with technical procedures.
+ Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff.
**In addition, our preferred qualifications include:**
+ Background or degree in Earth System Science, Environmental Science, Engineering, or related fields.
+ Experience as a lab manager for an environmental science lab involving both field and lab work.
**Certifications and Licenses:**
None
**PHYSICAL REQUIREMENTS*:**
+ Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push, and pull objects weighing over 40 pounds.
+ Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
+ Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
+ Must have correctable vision to perform duties of the job.
+ Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
+ Ability to lift heavy objects weighing up to 50 pounds.
+ Ability to work in a dusty, dirty, and odorous environment.
**WORKING CONDITIONS:**
+ May work extended or unusual work hours based on research and project requirements.
**WORK STANDARDS:**
+ Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
+ Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
+ Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job._
The expected pay range for this position is $38.55 to $46.68 per hour.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
How to Apply
We invite you to apply for this position by clicking on the "Apply for Job" button.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching, and clinical missions.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting acontact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Additional Information
+ **Schedule: Full-time**
+ **Job Code: 4969**
+ **Employee Status: Fixed-Term**
+ **Grade: G**
+ **Requisition ID: 106832**
+ **Work Arrangement : On Site**
View Now

BIO C Science Lab Preparator

97204 Portland, Oregon Portland State University

Posted 18 days ago

Job Viewed

Tap Again To Close

Job Description

Position Announcement

Position Details

Proposed Start Date
09/01/2025

Classification Title
Science Lab Preparator

Working Title
BIO C Science Lab Preparator

Department
220300 - BIO Biology

Position Number
D99806

Representation
OP - SEIU/OPEU Local 503

Position FTE
1

End date, if applicable

Position Summary

Brief Description of PSU/School/Dept

Portland State University is Oregon's most affordable public research university, located in the heart of one of America's most dynamic cities. Our mission to "let knowledge serve the city" reflects our dedication to turning ideas into action - in Portland and around the world. The city is our campus, giving students unmatched access to career connections, a vibrant cultural scene and hands-on learning experiences with hundreds of community partners.

More than 22,000 students from all backgrounds bring diverse perspectives to our classrooms and campus life , from the tree-lined Park Blocks to the bustling Urban Plaza and state-of-the-art science labs. We are proud of our world-class faculty, groundbreaking research and international reputation for excellence in sustainability, community engagement and innovation.

Position Summary

Provide laboratory materials for teaching purposes in a timely and organized manner. This is accomplished with the assistance of staff (mainly undergraduate student employees) who are under the direct supervision of this position. In order to provide laboratory materials, this position ensures the maintenance of preparation-room inventory supplies, that laboratory equipment used in the teaching laboratories is maintained in good working order, and that an adequate and healthy supply of plants, animals and bacterial cultures are available for instructional use. This position also works with instructors of laboratory courses to update laboratory exercises and test proposed new laboratory exercises. Additionally, the human anatomy and physiology class preparation (including management of human anatomical donors) is part of this position's portfolio.

Minimum Qualifications from Classification

-Twelve college credit hours with passing grades in a physical and/or life science, which included laboratory procedures, such as anatomy, biology, botany, chemistry, general science, geology, physics, or zoology; AND

-One year of laboratory experience which provided a knowledge of laboratory testing and/or demonstration methods and techniques.

Additional Minimum Qualifications for this Position

Preferred Qualifications
  • Bachelor's degree or Master's degree in a field of biology (preferably with an emphasis on microbiology and/or molecular biology).
  • At least 6 months working in, or closely with, a lab preparatory room within a university setting.
  • Capacity to work respectfully with human anatomical donors in an educational and scientific setting.
Key Cultural Competencies
  • Creates an environment that acknowledges, encourages and celebrates differences.
  • Functions and communicates effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities and cultural backgrounds.
  • Seeks opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement.
  • Adheres to all PSU policies including the policies on Prohibited Discrimination & Harassment and the Professional Standards of Conduct.


Environmental Stewardship

Contributes to a culture of environmental stewardship, practices resource conservation, and actively works toward achieving long-term sustainability goals.

Work Days/Hours
Monday-Friday 8am - 5pm (In-person)

Total Compensation Range & Benefits Statement

The starting hourly rate for this position will be between $21.27 and $23.18. PSU's excellent benefits package includes 95% premium paid healthcare; a generous retirement and vacation package; and reduced tuition rates for employee, spouse or dependent at any of the Oregon Public Universities

Application Instructions

Additional Information

Additional Application Instructions (deadlines, etc.)

Please include the names, email addresses and phone numbers for 3 professional references.

Background Check Required
Yes

If you have questions

Search Details

Posting Close Date

Application screening begins
08/09/2025
View Now

ST Science Lab Aide - Sierra Vista

85635 Sierra Vista, Arizona Cochise College

Posted today

Job Viewed

Tap Again To Close

Job Description

Salary: $14.70 Hourly
Location : Sierra Vista Campus, AZ
Job Type: Student
Job Number: 2501848
Division: ST--Academics
Departments: ST--Academics - Math & Science
Opening Date: 08/19/2025
FLSA: Non-Exempt
Remote Work Eligible: No
Pay Grade: Student
Duration/Parameters: Part-Time; Temporary

Position Summary

The Student - Science Lab Aide is responsible for providing support to the Science Department by performing a variety of tasks related to the support of chemistry, biology, geology and physics lab classes, and assisting the Science Lab Manager by preparing accurate concentrations of chemicals to make solutions and set up lab carts.

Note: Cochise College requires a post-offer, pre-employment background screening of all employees.
This position is open until filled, with applications reviewed upon receipt. The job posting may close at any time.
Duties and Responsibilities

Duties and Responsibilities : Within the scope of college policies and procedures, this position:

Sets up and breaks down equipment, chemicals and supplies for chemistry, biology, geology, and /or physics labs

Prepares molar solutions of acids by diluting concentrated solutions

Prepares media and grows bacteria

Calculates relative volumes of concentrated acid and water

Calculates required mass and prepares standard solutions of salt and bases

Handles preserved specimens, including cadavers

Ensures safe work environment by complying with OSHA regulations for handling hazardous materials

Follows waste regulations and proper procedures in the disposal of chemicals

Sterilizes equipment properly and cleans glassware using the appropriate solvents

Maintains fish tanks, reptile tanks, and plants as needed

Performs other duties as assigned by the supervisor

General Expectations: Employees are expected to accomplish assigned duties in an efficient, effective and competent manner and to strive for improvement and excellence in all work performed. Additionally, employees must understand the comprehensive role of the community college and cooperate and work harmoniously with students, faculty and staff, and the public. Employees will follow all college policies, rules, regulations and guidelines as they relate to this position.
Education and Experience; Knowledge, Skills and Abilities

Education and Experience Requirements:
Enrollment at Cochise College with a minimum of 6 credits per semester and 3 credits in the summer
Possess and maintain a 2.0 G.P.A. or higher
Completion a science lab class with a "B" or better
Students attending Cochise College on an F-1 Visa require full-time enrollment with a minimum of 12 credits per semester and six credits in the summer

Knowledge, Skills and Abilities:
Knowledge of and ability to follow college policies and procedures
Knowledge of the cleaning specifications of various laboratory equipment, fixtures, utensils, and related materials
Knowledge of quality, safety, and/or infection control standards
Ability to relate to a diverse population and to maintain composure when faced with difficult situations
Ability to communicate effectively, verbally and in writing, and to relate to others in a professional, helpful manner
Ability to multi-task and organize, prioritize, and follow multiple projects and tasks through to completion with an attention to detail
Ability to analyze problems, identifies solutions, and takes appropriate action to resolve problems using independent judgment and decision-making processes
Ability to establish and maintain effective working relationships with other department staff, faculty, students and the public
Instructor recommendation preferred

Work Environment & Physical Requirements

Work Environment : Work is primarily performed under general supervision. Incumbent generally performs work in a typical classroom or laboratory setting with appropriate climate controls and includes exposure to mechanical and chemical hazards.

Physical Requirements: Essential functions of this position require: lifting, manual dexterity, ability to communicate.

Light Work: Exerting up to 20 pounds of force frequently lifting or carrying of objects weighing up to 10 pounds requires a good deal of walking or standing, or involves sitting most of the time with some pushing and pulling of arm or leg controls.

Mental Application: Utilizes memory for details, verbal instructions, emotional stability, critical thinking, adaptability and creative problem solving skills are important
Part time and student positions are not benefit eligible
View Now

AI Innovation Lead - Data Science Lab

95828 Florin, California Guardian Life

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now

AI Innovation Lead - Data Science Lab

02298 Boston, Massachusetts Guardian Life

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now

AI Innovation Lead - Data Science Lab

98502 Tanglewilde, Washington Guardian Life

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now

AI Innovation Lead - Data Science Lab

55130 Minnesota, Minnesota Guardian Life

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now
Be The First To Know

About the latest Science lab Jobs in United States !

AI Innovation Lead - Data Science Lab

17124 Harrisburg, Pennsylvania Guardian Life

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now

AI Innovation Lead - Data Science Lab

25329 Charleston, West Virginia Guardian Life

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now

AI Innovation Lead - Data Science Lab

18020 Bethlehem, Pennsylvania Guardian Life

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Lead AI Innovation Lead - Data Science Lab

Overview

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.

Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

Key Responsibilities Include:

Leadership & Strategy

  • Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.

  • Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.

  • Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.

  • Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.

Innovation & Research

  • Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.

  • Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.

  • Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.

  • Create patentable technologies and methodologies that drive long-term innovation.

AI/ML Development

  • Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.

  • Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.

  • Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.

  • Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.

Operational Excellence

  • Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.

  • Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.

  • Actively participate in proof-of-concept evaluations of new data, software, and technologies.

Collaboration & Integration

  • Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.

  • Contribute to the standardization of data science tools, processes, and best practices across the enterprise.

  • Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences

You are:

  • You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.

  • You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.

  • You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

  • You have demonstrated track record of managing data science teams and working with business leaders.

You have:

  • PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field

  • 7+ years of hands-on ML modeling/development experience

  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)

  • Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions

  • Strong programming skills in Python including PyTorch and/or Tensorflow

  • Solid background in algorithms and a range of ML models

  • Experience leading team of Data Scientist of four or more

  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level

  • Excellent analytical and problem-solving abilities with superb attention to detail

  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Location:

  • Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA

  • Remote Candidates who can travel up to 20% of the time to our New York office will be considered.

Salary Range:

$148,940.00 - $244,685.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

View Now
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Science Lab Jobs