8,938 Researchers jobs in the United States

Our client is a prestigious research institution dedicated to advancing scientific knowledge, seeking a highly motivated and experienced Senior Scientific Research Scientist specializing in Genomics to join their innovative team in Chicago, Illinois, US . This role is crucial for designing and conducting cutting-edge research projects focused on understanding the genetic basis of complex diseases and biological processes. The ideal candidate will have a strong publication record, deep expertise in various genomic technologies, and the ability to lead research initiatives, mentor junior scientists, and secure grant funding. Key Responsibilities:

• Design, execute, and interpret complex genomic research experiments, including DNA sequencing, RNA sequencing, and epigenomic profiling.
• Develop and optimize novel genomic assays and analytical methodologies.
• Analyze and interpret large-scale genomic datasets, utilizing bioinformatics tools and statistical approaches.
• Collaborate with interdisciplinary teams of biologists, clinicians, and bioinformaticians to advance research goals.
• Write and submit high-impact research manuscripts for publication in peer-reviewed journals.
• Present research findings at national and international scientific conferences.
• Seek and secure external funding through grant applications from government agencies and foundations.
• Mentor and supervise postdoctoral fellows, graduate students, and research assistants.
• Manage laboratory resources, including equipment, supplies, and budgets.
• Ensure compliance with laboratory safety regulations and ethical research conduct.
• Stay abreast of the latest advancements in genomics, molecular biology, and related fields.

Qualifications:

• Ph.D. in Genetics, Molecular Biology, Genomics, or a related life science discipline.
• Minimum of 7 years of post-doctoral research experience with a focus on genomics.
• Extensive hands-on experience with a wide range of genomic technologies (e.g., NGS, microarrays, qPCR, single-cell genomics).
• Demonstrated expertise in analyzing and interpreting complex genomic data using bioinformatics tools and statistical software.
• A strong publication record in reputable scientific journals.
• Proven ability to lead independent research projects and secure competitive grant funding.
• Excellent leadership, communication, and interpersonal skills.
• Experience mentoring junior researchers and managing laboratory operations.
• Familiarity with regulatory requirements for human subject research is a plus.
• Proficiency in common bioinformatics software and programming languages (e.g., R, Python, Bash) is highly desirable.

This position offers an exciting opportunity to contribute to significant scientific discoveries within a collaborative and well-equipped research environment. We offer a competitive salary, excellent benefits, and a commitment to professional growth.

Our client is a world-renowned research institution seeking a highly accomplished Senior Scientific Research Scientist specializing in Genomics to join their dynamic team. This fully remote position offers a unique opportunity to contribute to cutting-edge research that pushes the boundaries of scientific understanding. You will be responsible for designing, executing, and analyzing complex genomic research projects, focusing on areas such as human genetics, gene regulation, and functional genomics. The ideal candidate possesses a deep expertise in modern sequencing technologies, bioinformatics, and statistical genetics, coupled with a strong publication record.

You will lead independent research projects, secure funding through grant applications, and collaborate with a multidisciplinary team of scientists, bioinformaticians, and clinicians. Responsibilities include developing novel experimental methodologies, performing sophisticated data analysis, and interpreting results to draw significant conclusions. This role requires excellent scientific rigor, critical thinking, and the ability to communicate complex findings effectively through publications and presentations. You will stay abreast of the latest advancements in genomics and related fields, contributing to the intellectual leadership of the research group. This is an exceptional opportunity to make a significant impact on genomic discovery and its application to human health, working remotely from Atlanta, Georgia, US .

Key Responsibilities:

• Lead independent research projects in genomics and related fields.
• Design and execute experiments utilizing cutting-edge sequencing and molecular biology techniques.
• Perform advanced bioinformatics and statistical analysis of genomic data.
• Develop and validate new genomic assays and analysis pipelines.
• Interpret research findings and their implications for human health and disease.
• Secure research funding through competitive grant applications.
• Publish research results in high-impact peer-reviewed journals.
• Present research findings at national and international conferences.
• Collaborate with internal and external research partners.
• Mentor junior researchers and post-doctoral fellows.

Qualifications: Ph.D. in Genetics, Molecular Biology, Bioinformatics, or a related life science discipline. Minimum of 6 years of post-doctoral or independent research experience in genomics. Extensive experience with next-generation sequencing (NGS) technologies and platforms. Strong proficiency in bioinformatics tools, programming languages (e.g., R, Python), and statistical genetics methods. Demonstrated track record of publications in leading scientific journals. Experience in grant writing and securing funding is highly desirable. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a remote research environment.

Our client is a renowned research institution seeking an accomplished Senior Scientific Research Scientist specializing in Bioinformatics to join their innovative and fully remote team. This pivotal role will drive cutting-edge research by applying advanced computational and statistical methods to complex biological datasets. The ideal candidate will possess a strong theoretical foundation in bioinformatics, genetics, or a related field, combined with extensive experience in analyzing large-scale genomic, proteomic, or metabolomic data. Responsibilities include designing and executing complex bioinformatics analyses, developing novel computational tools and pipelines, interpreting experimental results, and collaborating closely with experimental biologists and clinicians to advance scientific discovery. You will be instrumental in extracting meaningful insights from high-throughput data, identifying biomarkers, and contributing to the development of new diagnostic or therapeutic strategies. The successful candidate will have a proven track record of independent research, publication in peer-reviewed journals, and excellent programming skills (e.g., Python, R, Perl). Experience with cloud computing platforms and big data technologies is highly desirable. This position requires a proactive, detail-oriented, and highly motivated individual who can work autonomously and contribute to a collaborative scientific environment. Our client is committed to accelerating scientific breakthroughs and fostering a culture of innovation. This is an exceptional opportunity for a seasoned bioinformatics scientist to lead impactful research from a remote setting. Key Responsibilities:

• Design and perform advanced bioinformatics analyses on large-scale biological datasets (genomic, transcriptomic, proteomic, etc.).
• Develop, implement, and validate novel computational algorithms and pipelines.
• Interpret complex data to identify patterns, biomarkers, and scientific insights.
• Collaborate with experimental biologists, clinicians, and other researchers to design studies and analyze results.
• Contribute to grant proposals and manuscript preparation for publication in peer-reviewed journals.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and related fields.
• Develop and maintain robust code and documentation for bioinformatics tools and analyses.
• Present research findings at scientific meetings and conferences.
• Mentor junior scientists and research staff in bioinformatics techniques.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
• Demonstrated expertise in analyzing large-scale biological datasets, including next-generation sequencing data.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics libraries.
• Strong understanding of statistical methods and machine learning techniques applicable to biological data.
• Experience with bioinformatics databases, tools, and reference genomes.
• Familiarity with cloud computing environments (e.g., AWS, Google Cloud) and big data technologies is a plus.
• Excellent problem-solving, analytical, and communication skills.
• Proven ability to conduct independent research and work effectively in a remote team.

Our client is a cutting-edge research and development firm dedicated to pushing the boundaries of scientific discovery. We are seeking a highly experienced and innovative Principal Data Scientist to lead complex analytical projects and drive data-driven insights within our scientific research division. This is a hybrid role, offering a blend of in-office collaboration and remote flexibility. The ideal candidate will possess exceptional skills in statistical modeling, machine learning, and have a deep understanding of scientific methodologies.

Responsibilities:

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms to analyze large, complex datasets from scientific experiments.
• Extract, clean, and transform data from diverse sources, ensuring data integrity and accuracy for analysis.
• Develop predictive models and analytical solutions to address challenging scientific questions and accelerate research breakthroughs.
• Collaborate closely with research scientists, engineers, and domain experts to understand their data needs and translate them into analytical frameworks.
• Communicate complex findings and insights clearly and effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Mentor junior data scientists and contribute to the growth and development of the data science team.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields, and evaluate their applicability to our research initiatives.
• Design and conduct A/B tests and other experimental designs to validate hypotheses and measure the impact of interventions.
• Develop and maintain data pipelines and workflows to ensure efficient data processing and analysis.
• Contribute to the strategic vision for data utilization and analytics within the organization.

Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, Biology, or a related quantitative field.
• 10+ years of professional experience in data science, with a significant focus on scientific research or R&D environments.
• Expertise in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Deep understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Excellent data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib.
• Strong ability to translate complex scientific problems into solvable data science challenges.
• Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
• Experience in a hybrid work environment and the ability to manage time effectively.

This position is located in Charlotte, North Carolina, US , requiring occasional presence in the office for collaborative sessions.

Our client is seeking a highly skilled and experienced Lead Data Scientist to join their fully remote team dedicated to Scientific Research & Development. This is a unique opportunity to leverage advanced analytical techniques and machine learning to drive groundbreaking discoveries and solve complex scientific challenges. You will lead a team of data scientists, guiding the development and application of sophisticated models and algorithms to large, complex datasets. Your responsibilities will include defining research questions, designing analytical approaches, implementing statistical models, and interpreting results to provide actionable insights. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, data mining, and programming languages commonly used in data science (e.g., Python, R). A strong background in a scientific domain (e.g., physics, biology, chemistry, astrophysics) is highly preferred. Excellent leadership, communication, and collaboration skills are essential for success in this role. You will be expected to mentor junior scientists, present findings to stakeholders, and contribute to the overall scientific strategy.

Responsibilities:

• Lead the design and execution of data science projects supporting scientific research initiatives.
• Develop and implement advanced statistical and machine learning models.
• Analyze large, complex scientific datasets to extract meaningful insights.
• Mentor and guide a team of data scientists and researchers.
• Collaborate with scientists and domain experts to define research objectives and analytical approaches.
• Identify and explore new data sources and analytical methodologies.
• Communicate complex findings clearly and effectively to both technical and non-technical audiences.
• Develop data visualizations and reports to illustrate key trends and results.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of scientific publications and presentations.

Qualifications:

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related scientific discipline.
• Minimum of 7 years of experience in data science, with a significant portion focused on scientific research.
• Proven experience leading data science teams and projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a remote environment.
• Demonstrated experience in a scientific domain (e.g., bioinformatics, computational chemistry, experimental physics).

This is a fantastic opportunity for a seasoned data scientist to drive innovation in scientific discovery within a dynamic and flexible remote setting. If you are passionate about using data to unlock scientific potential, we invite you to apply.

Our client is a prestigious research institution at the forefront of scientific discovery, committed to advancing human health through cutting-edge research and development. We are seeking a highly motivated and accomplished Lead Scientific Research Scientist specializing in Molecular Biology to join our dynamic team in New York City, New York . This hybrid role offers an exciting opportunity to lead groundbreaking research initiatives, balancing essential in-lab work with the flexibility of remote collaboration.

As the Lead Scientific Research Scientist, you will spearhead innovative research projects focused on understanding complex molecular mechanisms underlying disease. You will design and execute experiments, analyze data, and interpret results to drive scientific understanding and identify potential therapeutic targets. This leadership position involves guiding a team of researchers, managing laboratory operations, securing funding through grant writing, and publishing findings in high-impact scientific journals. The ideal candidate possesses a profound knowledge of molecular biology techniques, a strong publication record, and proven leadership capabilities.

Key Responsibilities:

• Design, implement, and manage complex research projects in molecular biology, focusing on disease mechanisms and therapeutic development.
• Lead and mentor a team of research associates and post-doctoral fellows, fostering a collaborative and productive research environment.
• Develop and optimize novel molecular biology assays and experimental protocols.
• Perform rigorous data analysis, interpretation, and presentation of research findings.
• Author and co-author scientific publications for peer-reviewed journals and present research at national and international conferences.
• Contribute to the writing and submission of grant proposals to secure research funding.
• Manage laboratory resources, including equipment, consumables, and budgets.
• Collaborate with internal and external stakeholders, including clinical teams and industry partners.
• Ensure compliance with all laboratory safety regulations and ethical guidelines.
• Stay abreast of the latest advancements and emerging technologies in molecular biology and related fields.

Required Qualifications:

• Ph.D. in Molecular Biology, Genetics, Biochemistry, or a related life sciences discipline.
• A minimum of 7 years of postdoctoral and/or research experience, with a strong emphasis on independent research and project leadership.
• Demonstrated track record of significant scientific contributions, evidenced by a strong publication record in reputable journals.
• Extensive hands-on experience with a wide range of molecular biology techniques (e.g., PCR, qPCR, Western blotting, CRISPR, next-generation sequencing, cell culture).
• Proven experience in experimental design, data analysis (including statistical methods), and interpretation.
• Excellent leadership, communication, and interpersonal skills, with the ability to mentor and inspire a research team.
• Experience in grant writing and securing research funding is highly desirable.
• Proficiency in scientific software and databases.

This is a remarkable opportunity to make significant contributions to the field of molecular biology and drive impactful research within a world-renowned scientific community.

University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Research Laboratory Technician
Job Profile Title
Technician, Research Laboratory C
Job Description Summary
Perform routine medical laboratory tests for the diagnosis, treatment, and prevention of disease. Works with complex systems or perform highly technical mechanical or diagnostic tests in medical or scientific laboratories. Assists the laboratory manager to perform complex laboratory maintenance tasks and other laboratory projects, as assigned. Will assists senior level researchers on various supervised research projects within the lab. The technician will carry out routine tasks such as preparation of media and reagents, place orders for supplies, help maintain inventory and place lab equipment in their designated areas at the end of the day.
Job Description
Job Responsibilities
+ Cell culture maintenance - media changes and cell passaging
+ Monthly mycoplasma testing
+ Preparing buffers/media
+ DNA extractions
+ PCRs
+ General lab upkeep - waste removal, stocking, monitoring inventory
+ Providing support to generate ROs
+ Providing support in the transfection workflow, i.e. preparation of Matrigel plates, cell seeding, amplifying constructs, screening single colonies.
+ Other duties assigned
Position is contingent upon funding
Qualifications
+ Bachelor of Science and 0 to 1 years of experience or equivalent combination of education and experience is required.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$19.23 - $19.23 Hourly Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics) , citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law .
Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
+ Health, Life, and Flexible Spending Accounts : Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
+ Tuition : Take advantage of Penn's exceptional tuition benefits . You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
+ Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
+ Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
+ Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
+ Wellness and Work-life Resources : Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
+ Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
+ University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
+ Discounts and Special Services : From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
+ Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
+ Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
+ Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

To learn more, please visit: University of Pennsylvania's special character is reflected in the wide variety of backgrounds, experiences, and perspectives of the Penn community. We seek talented faculty and staff who will constitute a vibrant community and help create an educational and working environment that best supports the University's commitment to excellence in teaching, research, and scholarship. The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status, or any class protected under applicable federal, state or local law.

**CIRES / NOAA Physical Sciences Laboratory Research Associate focused on Machine Learning methods for Hydrologic Predictions**
**Requisition Number:** 67882
**Location:** Boulder Colorado
**Employment Type:** Research Faculty
**Schedule:** Full Time
**Posting Close Date:** 17-Oct-2025
**Date Posted:**
**Job Summary**
The Cooperative Institute for Research in Environmental Sciences (CIRES) is seeking a Research Associate within the Physical Sciences Laboratory in Boulder, Colorado. The candidate will work alongside federal and university employees to conduct research within a collaborative team toward enhancing NOAA's hydrologic predictions at weather to seasonal timescales and contribute to advancing the use of machine learning methods for hydrologic prediction within this context. The project's outputs will serve a diverse community of users including fellow researchers in hydrometeorological forecasting communities, operational streamflow forecasting entities, and water resource decision-makers.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
**Who We Are**
CIRES ( is an internationally recognized leader in innovative environmental science and research and is located at the University of Colorado Boulder. At CIRES, more than 900 environmental science professionals work to understand the dynamic Earth system, including people's relationship with the planet. CIRES has partnered with NOAA since 1967, and our areas of expertise include weather and climate, changes at Earth's poles, air quality and atmospheric chemistry, water resources, solid Earth sciences, and more. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system.
The NOAA-Physical Sciences Laboratory ( (PSL) mission is to conduct scientific research to observe, understand, model, predict and forecast weather, water and climate extremes and their impacts. Our vision is an informed society that uses science-based environmental intelligence to effectively anticipate and respond to threats and opportunities related to weather, water, and climate extremes. Our research goals are as follows:
+ Rigorously characterize and predict weather, water, and climate extremes and their uncertainties to support NOAA's mission.
+ Develop new process-understanding, observing, and modeling capabilities to predict conditions associated with too much or too little water for early warning, preparedness, resource management, and adaptation.
+ Improve monitoring and prediction of weather, climate, and water conditions impacting marine resources.
**What Your Key Responsibilities Will Be**
+ Develop and/or apply machine learning based hydrologic modeling techniques and observations to improve ensemble streamflow forecasts (30%).
+ Establish data-processing workflows to obtain, manipulate, and visualize relevant observations and model output (15%).
+ Work with a team of scientists to improve skill, reliability, and interpretability of hydrometeorological forecasts for targeted applications (e.g., water availability, floods, droughts, etc.) (15%).
+ Conduct research to complement and enhance predictions from existing operational hydrological models. (10%).
+ Prepare and present results to scientific audiences and to stakeholders via journal publications, conference presentations, participation in professional societies, and/or user-group meetings. (15%).
+ Provide scientific and technical direction for experimental designs to test hypotheses and better understand limitations of machine learning methods for hydrologic simulation (10%).
+ Performs other relevant duties as necessary (Not to exceed 5%).
**What You Should Know**
+ This position will be rostered in CIRES at the University of Colorado Boulder, but will be physically situated in the NOAA laboratory facility at the David Skaggs Research Center, 325 Broadway, Boulder, CO 80305.
+ If you are selected for this position, you will be required to pass a federal laboratory background clearance for site access.
+ Given project deliverables, candidates must be able to start work by March 1, 2026.
+ Visa sponsorship is not offered for this position. Candidates working in the United States through a visa or a work permit or needing sponsorship now or in the future are not eligible for hire in this role.
**What We Can Offer**
+ CIRES can offer a generous compensation package.
+ The annual hiring salary range for this position is $72,000- $84,450. Salary is commensurate with education and experience and determined based on our CIRES internal career track classification.
+ This position can accommodate a hybrid work modality.
+ This position does not offer relocation.
+ An opportunity to work on the next-generation hydrologic forecast models and produce information on water risks and opportunities to support water resource decisions and management.
+ CIRES and the University of Colorado boulder offer a robust training curriculum, opportunities for professional development and a Mentorship Program.
+ Boulder ( is a vibrant community with access to mountain parks, dog parks, miles of trails, rivers, lakes, cafes, restaurants, boutiques, theaters, museums, and sports venues.
+ As an employee at CU Boulder, you will have free access to the regional public transit system, ( an outstanding network of buses, and light rail systems that service Boulder and connect to Denver, the Denver airport, and surrounding communities.
**Benefits**
At the University of Colorado Boulder ( , we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package ( includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage ( program.
**Be Statements**
Be entrepreneurial. Be inspired. Be Boulder.
**What We Require**
+ A PhD in Civil Engineering, Hydrology, Water Resources, or a related field.
+ Experience using neural hydrology python package (a machine learning package developed for hydrologic predictions), .
+ Experience using Linux and developing structured code in Python, R, and/or shell scripting.
**What You Will Need**
+ Expertise in hydrometeorology, hydroclimatology, statistics, or data science.
+ 2+ years post-PhD research experience
+ Hands-on knowledge or familiarity with state-of-the-art machine learning methods.
+ Interest in hydrometeorological forecasting.
+ Knowledge of existing national or regional operational hydrological models and benchmarks.
+ Familiarity with credible hydrometeorological and other relevant datasets suitable for training machine learning models.
+ Ability to work and communicate effectively within a team environment and to facilitate communications across multiple teams and multiple organizational units.
**Special Instructions**
To apply please submit the following materials with your application:
1. Resume or CV.
2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
3. Although not required at the time of application, please be ready to submit contact information for professional references (name, title, professional relationship, email) who may be contacted on your behalf. If you are selected as a finalist for this role, the search committee will request a letter of recommendation at a later time.
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.
The position will close on **October 17, 2025** .
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs ( .
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
**To apply, visit ( 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

**About Us:**
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
**Scientific Research Lead, CMO Innovation Lab**
**Exciting Opportunity at MSK:** Are you passionate about molecular biology, next generation sequencing, and advancing molecular diagnostics? We are seeking a Scientific Research Lead to join the CMO Innovative Lab, where we develop and implement NGS-based molecular assays for use in the clinical lab at MSKCC.
In this pivotal role, you'll drive scientific innovation, mentor fellow lab members, participate in experimental design, and collaborate across groups to optimize and implement transformative approaches in NGS technologies. If you're excited by the challenge of translating cutting-edge molecular biology techniques into multi-omic clinical tests, we want to hear from you!
**Role Overview:**
+ Lead scientific initiatives within the Innovation Lab, supporting high-impact research and development in areas such as DNA/RNA sequencing, epigenetics and proteomics.
+ Collaborate with both wet- and dry-lab team members to analyze data and perform experimental design.
+ Evaluate, implement, and optimize emerging technologies in the NGS space, including communication with outside research groups and vendors.
+ Foster a productive and innovative environment for lab members to grow their projects through introduction of advanced techniques and scientific rigor.
+ Collaborate with internal and external partners to drive translational research and technology development.
+ Contribute to publications, grants, and presentations that shape the future of cancer diagnostics.
**Key Qualifications:**
+ PhD in Molecular Biology or a related field (PhD + 4-7 years of relevant experience).
+ Deep expertise in molecular biology, including experience with DNA- and RNA-based NGS workflows, methylation profiling and/or high-throughput proteomics.
+ Demonstrated experience in data visualization and experimental design.
+ Some knowledge of bioinformatics and experience working with sequencing data is highly desirable.
+ Strong commitment to mentoring and collaborative science in an academic medical setting.
**Core Skills:**
+ Leadership and communication skills to guide a dynamic research team.
+ Analytical and critical thinking to support experimental design and lab operations.
+ Proficiency in data analysis, and scientific software tools.
+ Ability to lead complex projects and contribute to cross-functional initiatives.
**Additional Information:**
+ **Schedule** : onsite daily, Monday - Friday, 37.5 hours
+ **Location:** Zuckerman Research Building, 417 East 68th St.
+ **Reporting to** : Manager
**Helpful Links** :
+ Compensation Philosophy ( Benefits
#IHP
#LI-POST
Pay Range: $100,600.00 - $161,000.00
FSLA Status: Exempt
**Closing** :
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.