103 Data Scientists jobs in Boston
Graduate Trainee - Data Science
Posted 18 days ago
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Job Description
Program Overview:
- Intensive training in core data science concepts, including statistics, machine learning, data visualization, and programming languages (e.g., Python, R).
- Exposure to real-world data challenges and projects across various industries.
- Mentorship from experienced data scientists and industry experts.
- Development of practical skills in data cleaning, exploration, modeling, and interpretation.
- Opportunities to work with cutting-edge tools and technologies.
- Collaboration with cross-functional teams on client engagements.
- Focus on understanding business problems and translating them into data-driven solutions.
- Training in effective communication of data insights to both technical and non-technical audiences.
- Potential for full-time employment upon successful completion of the trainee program.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong academic record with a GPA of 3.5 or higher.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Understanding of statistical concepts and techniques.
- Excellent analytical and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
- Eagerness to learn, a proactive attitude, and a strong work ethic.
- Ability to work collaboratively in a team environment.
- Demonstrated interest in data science through projects, coursework, or internships.
Vice President of Data Science
Posted today
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Job Description
Fidelity Labs seeks a Vice President of Data Science to join a Labs startup. The startup's focus is building innovative technology for financial services, with an expertise in artificial intelligence to accelerate growth. This role will lead the data science strategy and roadmap, working with a data science team, responsible for the design, implementation, testing and delivery of solutions that are reinventing how financial services firms market and sell their solutions. This role will be a key member of the startup team, serving as the face of data science for internal and external audiences, and will actively collaborate with the product and development teams.
The Team
We are Fidelity Labs, Fidelity Investments' in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.
Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, with moon-shot ambition—with the scale and stability of an industry leader. We provide a supportive environment for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at
The Expertise You Have
- Strong, proven, communication, collaboration and leadership skills
- You have prior leadership experience understanding business objectives and developing solutions
- You can successfully communicate/convince other senior leaders of your plans and progress, both within an organization and with clients
- You are able to lead a team to accomplish that plan, in an agile and collaborative environment
- A passion for excellence and a desire to mentor and develop talent
- Experience in delivery of data science to a product, ideally at a startup, lab or early stage company, in the field of AI-driven personalization, financial services, marketing and/or business development
- Proven experience building analytics, as well as leveraging large language models, to deliver useful insights from large datasets
- Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation; model deployment
- MS/PhD in data science, statistics or similar quantitative field, plus 5 or more years senior level practical data science experience in the financial or similar domain
- Hands On Experience with Data Science, ML, AI, and LLM tools is plus (examples: Sagemaker Python, Scikitlearn, SQL, Bedrock, OpenAI)
This role is expected to be both forward-oriented and hands on, with a strong ability to communicate objectives, develop plans and deliver results.
Certifications:Category:
Data Analytics and Insights
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Graduate Trainee - Data Science - Remote
Posted 9 days ago
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Job Description
Program Overview:
- Gain practical experience in data collection, cleaning, exploration, and preprocessing.
- Assist in building, training, and evaluating machine learning models under the guidance of senior team members.
- Contribute to data visualization and storytelling to communicate insights effectively.
- Learn and apply various data science methodologies and tools relevant to industry challenges.
- Participate in team meetings, project discussions, and knowledge-sharing sessions.
- Develop a portfolio of projects showcasing your skills and contributions.
- Receive mentorship from experienced professionals in the field.
- Explore different domains within data science, such as predictive modeling, natural language processing, or computer vision.
- Work collaboratively with other interns and full-time employees on assigned tasks and projects.
- Contribute to the development of internal tools and pipelines to support data science workflows.
- Understand and adhere to data privacy and security best practices.
Qualifications:
- Currently pursuing or recently completed a Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of database concepts and SQL.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities, suitable for a remote team environment.
- Demonstrated passion for data and a desire to learn and grow in the field of data science.
- Ability to work independently and manage time effectively to meet project deadlines.
- Previous internship or research project experience in data science is a plus, but not required.
This is a unique opportunity to kickstart your data science career with a leading organization, gaining invaluable experience in a supportive and innovative remote setting. We are looking for bright minds ready to make a difference.
Product Manager, Clinical Data Science & AI
Posted today
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Job Description
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary
CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Product team supporting Clinical Data Science & AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.
As a Product Manager within A&BC, you will be responsible for contributing to the development and launch of AI-powered insights across the enterprise. This role requires a strong understanding of product management, clinical data, data science, and business strategy. The ideal candidate has familiarity with GenAI, deep learning, and machine learning and is able to work effectively with cross-functional teams to bring clinical data and AI products to market. Additionally, as a Product Manager you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&BC in its digital transformation.
Responsibilities:
+ Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Stakeholder teams
+ Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business
+ Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality
+ Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
+ Liaise with clinicians to get an understanding of clinical best practices, requirements, and validation of AI outputs
+ Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
+ Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in
+ Work with internal customers, end users, and other stakeholders to maintain product roadmaps
+ Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively
+ Support the establishment and maintenance of release-management, product planning and launch frameworks
+ Champion Agile methodologies and lean practices in product development
Required Qualifications
+ 3+ years' experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts
+ 1-2 years' Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers) including:
+ Strong experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value
+ Experience in stakeholder management
Preferred Qualifications
+ Familiarity with AI including GenAI, machine learning, and deep learning
+ Deep knowledge of various types of healthcare data, including a strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools including, but not limited to, Tableau
+ Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry
+ Technical product management experience and/or experience with prompt engineering a plus
+ Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes
+ Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirements to Data Science, Engineering, and other technical teams
+ Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle
+ Ability to drive outcomes in a complex environment and navigate ambiguity
Education
+ Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field
+ Bachelor's degree required
**Anticipated Weekly Hours**
40
**Time Type**
Full time
**Pay Range**
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit anticipate the application window for this opening will close on: 12/27/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Lead Director, Data Science - Clinical Insights & Informatics
Posted today
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Job Description
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
**Position Summary**
CVS Health is seeking an experienced analytics leader to join our Clinical Data Science team as the Lead Director, Data Science. This role is crucial in leveraging CVS Health's extensive clinical data to enhance health outcomes across various business lines and use cases. The successful candidate will be responsible for leading a team to design, develop, implement, and support advanced analytics solutions. The Lead Director will play a pivotal role in transforming clinical data into actionable insights, improving patient care capabilities, optimizing healthcare operations, and driving evidence-based decision-making.
**What You'll Do**
+ Direct and mentor a team of data scientists, fostering a culture of innovation and collaboration to drive business value and insights through data science initiatives.
+ Partner with stakeholders across the organization, including executives, clinicians, and business teams, to align data science efforts with business strategy and identify opportunities for data-driven solutions.
+ Guide the design, development, validation, and implementation of analytics solutions that address complex business challenges, ensuring they effectively support decision-making processes and anticipate outcomes.
+ Champion the use of advanced techniques, such as natural language processing (NLP) and large language models (LLMs), to extract actionable insights from unstructured clinical data, while overseeing the team's execution of these initiatives.
+ Lead the strategic development of the clinical data feature store, facilitating the efficient adoption of future use cases and enhancing the organization's data capabilities.
+ Oversee the exploration, validation, and interpretation of large datasets, ensuring the application of advanced statistical and mathematical approaches to derive meaningful insights.
+ Drive the end-to-end development of analytics solutions, from defining problem statements to overseeing the deployment of models into production, ensuring alignment with organizational goals.
+ Ensure the creation of impactful dashboards and data visualizations that effectively communicate analysis results and support strategic decision-making across the organization.
+ Oversee the documentation of project details, including problem statements, business outcomes, and deployment instructions, to ensure knowledge transfer and continuity.
+ Develop and lead presentations and consultations for existing and prospective stakeholders, articulating analytics opportunities, results, and strategic solutions.
+ Provide technical coaching and professional development opportunities for data scientists, enhancing their skills and capabilities to meet organizational needs.
+ Foster a team culture that prioritizes innovation, collaboration, and continuous improvement, encouraging team members to share ideas and best practices.
**Required Qualifications**
+ 10+ years of total business experience in analytics or data science.
+ 7+ years of experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
+ 5+ years of experience leading analytics projects from concept to delivery, coordinating across diverse stakeholder groups.
+ 5+ years of people management experience with a proven track record of leading highly effective and engaged teams.
+ Experience building analytics solutions to solve business problems in the healthcare domain.
+ Proficiency with statistical concepts and advanced analytic techniques, such as regression, tree-based non-linear models, time series analysis, and deep learning.
+ Proficiency using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.
+ Proficiency in Python and SQL.
**Preferred Qualifications**
+ Experience using clinical data from EMR systems.
+ Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.
+ Excellent written and verbal communication skills, including the ability to present complex ideas to various audiences.
+ Strong analytical and problem-solving skills with the ability to handle multiple, complex projects in a deadline-driven environment.
+ Highly self-motivated and attentive to detail.
+ Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.
**Education**
+ Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.
+ Master's degree preferred.
**Pay Range**
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit anticipate the application window for this opening will close on: 12/31/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
General Manager - Artificial Intelligence
Posted today
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Job Description
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
About the Role:
UKG's AI solutions offer numerous advantages, particularly in Human Capital Management (HCM), by improving employee experiences through AI-powered insights, enhancing efficiency by automating tasks, and enabling data-driven decision-making. The General Manager (GM) for Artificial Intelligence (AI) at UKG is a visionary leader with P&L accountability and responsibility for transforming and growing the AI business as part of UKGs broader growth initiatives. The AI GM will be responsible for the business's short and long-term strategy and product roadmap and will accelerate the product journey and operationalize the product management and product marketing functions ensuring seamless integration and collaboration across shared services in Engineering, Design, Security and Architecture, in order to enable scale and stay ahead of customer demands. Reporting to the Chief Product Officer, the AI GM will have P&L responsibility for the business and lead a team of approximately 16 team members.
The AI GM will combine a highly strategic mindset, operational orientation, and an ability to drive measurable change. They will be responsible for assessing and developing the team and infusing operational rigor and modern product development practices into the business. They will be a builder of people and teams and a collaborative leader who can partner closely with cross-functional teams.
Your Responsibilities:
As a key member of the UKG leadership team, actively shape the future vision and strategy for the company and the AI business unit, ensuring alignment with UKG's broader strategic goals.
Create a comprehensive AI product roadmap and strategy that aligns with UKG's broader strategy, focusing on differentiation and growth aspirations in the short, mid-, and long-term.
Build deep relationships with customers, infusing their feedback into the AI product development process to enhance the end-user experience. Own the "voice of the customer" and anticipate future needs to stay ahead of the competition.
Understand competitive dynamics and leverage insights to differentiate the AI business, ensuring it remains ahead of market trends.
Own the key drivers of growth for AI products and customer segments, working across the organization to drive these initiatives.
Collaborate effectively across functions, including the aligned engineering team and the broader go-to-market organization, to set strategy and ensure accountability.
Advocate for a data-driven culture, leveraging analytics to guide strategic decisions and AI product improvements. Utilize data and KPIs to drive growth, reduce churn, improve NPS, and enhance product quality and features.
Attract and build a best-in-class AI team empowered to drive transformation in line with business goals. Provide opportunities for internal growth to retain top talent at UKG.
Serve as a thought partner for holistic AI product growth, working with broader teams to strategically evaluate Build, Buy & Partner decisions.
Stay abreast of AI trends and technologies, leveraging intellectual curiosity to uncover growth and innovation opportunities that can be translated into actionable strategies.
Oversee the complete lifecycle of AI products, from ideation through launch and continuous optimization, with a focus on beta AI product development.
Ensure that AI products comply with ethical standards and regulatory requirements, advocating for transparency, fairness, and accountability in all AI-related initiatives.
Desired Outcomes:
Advance the vision and strategy of UKG's AI business by contributing distinctly to the organization's plans and driving the execution of the AI product roadmap.
Establish a culture of excellence in execution and customer obsession, elevating AI technology as a core capability that drives competitive advantage.
Create a game-changing AI product vision for the future of the AI business unit that is innovative, ambitious, and compelling.
About You:
10+ years of experience in product leadership, with a track record of bringing AI-driven products to market and driving execution with P&L responsibilityp.
Ability to drive growth using AI product functionality, pricing, packaging, and partnerships, leveraging data to enhance customer engagement and experience.
Experience in visualizing and developing new AI experiences and solutions, successfully bringing new products to market using innovative technologies.
Ability to implement best-in-class AI product management practices and drive continuous improvement and flawless execution of the AI product portfolio.
Experience leading geographically distributed, diverse teams, attracting and growing talent
Effective communicator of complex technical concepts.
Basic Qualifications:
Minimum of 10 years in innovative product management roles, with at least 5 years in a leadership capacity.
Proven ability to align corporate and AI product strategies with business goals.
Success in leading complex, cross-functional AI initiatives to successful outcomes.
Strong capability to connect financial results to performance through effective use of KPIs and budget management.
Exceptional ability to navigate shifting priorities and collaborate with diverse stakeholders.
Deep understanding of customer needs and the ability to prioritize these to drive impactful AI outcomes.
Proven track record of building and leading high performing teams and nurturing talent
Bachelor's degree in Computer Science, Engineering, or a related field; an advanced degree (MBA, MS, or Ph.D.) is preferred.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email
The pay range for this position is $256,000 to $368,000, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.
Director, R&D Data Science & Digital Health – Neuroscience
Posted 19 days ago
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Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at no-style="text-align:left;">Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data Science Portfolio ManagementJob Category:
ProfessionalAll Job Posting Locations:
Cambridge, Massachusetts, United States of AmericaJob Description:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at />
Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health – Neuroscience to be located at one of our sites in Cambridge, MA, Titusville, NJ, or La Jolla, CA . Remote work options in the US may be available and will be considered on a case-by-case basis and if approved by the Company.
Role Summary
This visionary leader will join the Neuroscience Data Science and Digital Health (DSDH) team to transform neuroscience clinical trials through cutting-edge AI, digital health technologies and advanced statistical methodologies. This role will work on the discovery, development and validation of novel digital endpoints and tools, enhancing patient screening, recruitment, monitoring, and engagement. By combining deep knowledge of neuroscience with expertise in data science and digital health, the leader will deliver innovative, fit-for-purpose solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. This will be achieved by being an integral member of a matrixed team working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes, and by establishing strategic external collaborations.
Key Responsibilities
Advancing our Digital Health Strategy
- Partner with cross-functional teams to create strategic roadmaps that integrate digital health solutions throughout the patient journey, ensuring clinical relevance and patient-centered outcomes.
- Monitor emerging technologies and trends to bring forward next-generation solutions for neuroscience research and development.
Endpoint & Digital Tool Development
- Partner with cross-functional teams (e.g., disease subject-matter-experts, data scientists, statisticians, precision measures leads and clinicians) on (a) study design, development and validation of algorithms and analysis pipelines for digital health data; (b) Development of multimodal approaches combining digital health data with imaging, blood-based biomarkers and real world data to enable precision neuroscience.
Regulatory & Evidence Generation
- Contribute to evidence packages to support regulatory qualification of digital endpoints and tools.
- Partner with regulatory and medical affairs to engage health authorities and payers on the acceptance of digital health approaches.
- Ensure validation and compliance with evolving global regulatory and data privacy standards.
Cross-functional & External Leadership
- Collaborate with clinical operations to integrate digital health technologies into trial design.
- Partner with the rest of the organization to optimize data capture, integration, and interoperability of digital solutions.
- Represent the organization in external consortia, conferences, and collaborations to influence digital health standards in neuroscience.
Qualifications
- Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics or a related field.
- 8+ years of experience in pharmaceutical, biotech, or healthcare analytics.
- Experience in clinical development, digital health or outcome assessments, with demonstrated expertise in neuroscience preferred.
- Extensive experience in advanced analytical methodologies, including biostatistics, machine learning and statistical modeling of digital health data such as speech and sensor data and/or neuroimaging, and in multimodal data analysis approaches is required. Knowledge of state-of-the-art AI methods is an advantage.
- Strong track record in developing and validating digital health tools, clinical endpoints, or biomarkers, ideally with regulatory interactions.
- Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations.
- Familiarity with data standards, privacy regulations, and regulatory qualification pathways for digital measures.
- Excellent cross-functional leadership, communication, and collaboration skills.
- Track record of scientific contributions (presentations and publications) in this field is required.
- This position may be located in Cambridge, MA, Titusville, NJ, or La Jolla, CA. Remote work options in the US may be available and will be considered on a case-by-case basis and if approved by the Company. May require up to approximately 10% yearly travel (international and domestic).
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via or internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $160,000 to $276,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental , vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
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#JNJDataScience
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#JRDDS
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Lead Data Scientist/Economist - Price and Promotions Data Science
Posted today
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Job Description
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
**Position Summary**
The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights. As a member of the Price and Promotion Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing and promotions decisions.
In this role, you will have the opportunity to:
+ Lead the application of advanced econometric methods to understand localized trends, assess the competitive environment, and measure short and long- term customer impacts to optimize pricing and promotions decisions,
+ Solve complex problems, translate business requirements into testable hypotheses and measurable metrics,
+ Guide the modeling approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio, develop robust methodologies and metrics to assess model performance,
+ Stay up to date on the state-of-the-art modeling methodologies and latest research,
+ Develop Jr talent, conduct code reviews, and drive the methodological expertise within the Price and Promotions Econometrics team,
+ Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents,
+ Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. Present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership,
We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.
We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.
**Required Qualifications**
+ Advanced degree in a quantitative field such as economics, statistics, or a related field. PhD in economics is preferred.
+ 7+ years of work experience in retail, consulting, or a related field as an economist, data scientist, or similar role with at least 2 years in a lead capacity,
+ Strong foundation, and demonstrated experience applying statistical models and/or causal inference techniques (such as Hierarchical GLM, Double ML, synthetic control, and other quasi experimental techniques). Familiarity with surrogate models.
+ Strong Python, R, and SQL skills, proficiency in working with large datasets,
+ Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.),
+ Excellent communication, leadership, and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs.
+ Proven experience leading multiple complex projects simultaneously in a fast-paced environment.
**Preferred Qualifications**
+ Experience measuring the impact of price and promotion strategies and competitive price positions on customer purchase behavior,
+ In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail,
+ Experience with managing large scale projects and working with multiple business stakeholders.
**Education**
Advanced degree in a quantitative field such as economics, statistics, or a related field. PhD in economics is preferred.
**Pay Range**
The typical pay range for this role is:
$130,295.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit anticipate the application window for this opening will close on: 11/30/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Internships in Data Science, Math, Statistics or Operations Research
Posted today
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Job Description
NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com).
Job Responsibilities
As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas:
+ Data analysis and visualization
+ Augmented decision-making and trusted analytics
+ Applied mathematics, statistics, and optimization
+ Simulation and computational analytics
+ Systems modeling and analysis
+ Operational effectiveness and efficiency
+ Knowledge discovery
+ Next-generation data environments
Basic Qualifications
+ Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines.
+ Must continue to be enrolled the semester following the internship.
+ Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
+ Must have sustained excellence in academic performance.
Preferred Qualifications
+ Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting.
+ Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
+ Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements.
Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned.
This requisition requires the candidate to have a minimum of the following clearance(s):
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Salary compensation range and midpoint:
$45,500 - $7,000 - 68,500 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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Senior Director, R&D Data Science & Digital Health – Ophthalmology
Posted 9 days ago
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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at no-style="text-align:left;">Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data Science Portfolio ManagementJob Category:
People LeaderAll Job Posting Locations:
Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Ophthalmology. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Summary
We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.
You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with ophthalmic disorders.
Key Responsibilities
- Define and execute the data science and digital health strategy for ophthalmology , integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
- Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets.
- Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways.
- Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery.
- Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment.
- Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven science.
- Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives.
Qualifications
- Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required.
- 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required.
- 7+ years of experience as a people manager is required.
- Experience in clinical development with demonstrated expertise in ophthalmology preferred.
- Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required.
- Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification.
- Track record of scientific contributions (presentations and publications) in this field is required.
- Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required.
- Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus.
- Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required.
- Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required.
This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via s or internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
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