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Full Time Nih Data Science Jobs (NOW HIRING)

New York University

Data Manager (Full-Time)

New York, NY · On-site

$60K - $70K/yr

... science research. * Proficiency with data management and analysis tools (e.g., REDCap, Qualtrics, STATA, SAS, R, or Python). * Familiarity with NIH Data Management and Sharing requirements and best ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

National Institutes of Health

Data Scientist

MD · On-site +1

$70.62K - $111.09K/yr

Extramural grants account for approximately 80 percent of NIH's budget and are awarded to ... Assists higher-graded employees in the performance of continued projects in data science topics ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Optimize Partners

Director, Data Science

New York, NY · On-site

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Chewy

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

BranchLab

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

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How much do full time nih data science jobs pay per year?

As of May 31, 2026, the average yearly pay for full time nih data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time NIH Data Scientist, and why are they important?

To thrive as a Full Time NIH Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by an advanced degree in data science, bioinformatics, or a related field. Familiarity with scientific computing tools, machine learning frameworks, and experience with large biomedical datasets are typically required, along with knowledge of data management systems. Excellent problem-solving, communication, and collaboration skills are crucial for translating complex data into meaningful scientific insights and working effectively within research teams. These skills are critical for advancing biomedical research, ensuring data integrity, and supporting impactful decision-making at the NIH.

What types of projects do NIH Data Science professionals typically work on, and how do these projects contribute to public health research?

NIH Data Science professionals often collaborate on interdisciplinary projects that involve analyzing large biomedical datasets, developing statistical models, and creating data-driven solutions to advance medical research. Common responsibilities include working with researchers to clean, manage, and interpret data from clinical trials, genomics, or public health studies. These projects directly support scientific discoveries and can influence healthcare policy, making the role highly impactful. Teamwork is essential, as data scientists regularly consult with biologists, clinicians, and IT specialists to ensure data integrity and meaningful analysis.

What are Full Time NIH Data Science jobs?

Full Time NIH Data Science jobs refer to positions at the National Institutes of Health (NIH) where professionals apply data science methods to biomedical research and public health initiatives. These roles typically involve analyzing large datasets, developing computational tools, and collaborating with researchers to advance scientific discoveries. Data scientists at NIH work full-time, contributing to projects such as genomics, clinical trials, and disease modeling. These positions often require expertise in statistics, programming, and a strong understanding of biological or medical data.
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Full Time Nih Data Science jobs near you
Data Manager (Full-Time)

Data Manager (Full-Time)

New York University

New York, NY • On-site

$60K - $70K/yr

Full-time

Posted 6 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

93rd of 530 rated colleges and universities

Job description

Description
Job Summary: The NYU Program of Nutrition at Steinhardt, the Center of Advancement and Dissemination of Intervention Optimization (cadio) at the NYU Global School of Public Health, and the Institute of Human Development and Social Change (IHDSC) are seeking a Data Manager to support Dr. Angela Trude and Dr. Jillian Strayhorn and the OPT-FRESH research team. This role will play a central role in supporting all aspects of the project's data activities, including developing and maintaining data systems, ensuring compliance with NIH Data Management and Sharing (DMS) requirements, and supporting data collection, quality assurance, and documentation.
Project Overview: OPT-FRESH is a 5-year NIH-funded intervention trial addressing gaps in healthy food access among low-income families. Using the multiphase optimization strategy (MOST), the study tests three intervention components designed to reduce barriers to online healthy food purchases: 1) weekly text messages to improve trust in online grocery services; 2) weekly match of up to $10 as a financial inventive for purchasing FVL online; and 3) weekly instant shoppable grocery lists of tailored meal suggestions using SNAP-Ed recipes. OPT-FRESH will provide a unique opportunity to identify effective, scalable, and efficient strategies that could be used to reach the over 44 million people in the U.S., including six million children, experiencing food insecurity, thus addressing important social determinants of health that explain health disparities related to cardiovascular disease.
Specific Responsibilities:
  1. Develop and maintain secure data management systems for the project.
  2. Implement protocols for data collection, entry, storage, quality assurance, and security.
  3. Support study staff and research assistants in data collection and processing activities.
  4. Oversee data cleaning, merging, and preparation for analysis.
  5. Ensure compliance with NIH Data Management and Sharing policies, including preparation of metadata, codebooks, and documentation.
  6. Work closely with the PI, postdoctoral fellow, and analysts to facilitate data use for manuscripts, presentations, and grant reporting.
  7. Assist with the preparation of data sets for sharing with external collaborators and public repositories.
  8. Maintain detailed records of all data-related activities and decisions.
  9. Provide training and support to research staff and students on data handling procedures.
  10. Contribute to dissemination efforts through tables, figures, and descriptive analyses for reports, presentations, and publications.

Working Conditions
In-person: meetings and data analysis activities will be conducted in the NYU Washington Square Campus, where the Data Manager will have a designated work-desk, filing cabinets, and computer.
Time Frame
One-year position with potential renewal for up to five years.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $60,000-$70,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Per NYU's remote-work policy, this position is expected to be completely in-person.
This position will not have direct supervisory responsibilities.
Qualifications
Qualifications and Competencies:
  1. Master's degree in Public Health, Epidemiology, Biostatistics, Data Science, or a related field; PhD preferred.
  2. Demonstrated experience in managing large or complex datasets, preferably in public health, nutrition, or social science research.
  3. Proficiency with data management and analysis tools (e.g., REDCap, Qualtrics, STATA, SAS, R, or Python).
  4. Familiarity with NIH Data Management and Sharing requirements and best practices.
  5. Strong organizational skills and attention to detail.
  6. Ability to work collaboratively with a multidisciplinary team.
  7. Excellent communication skills and ability to prepare clear documentation.
  8. Experience with randomized controlled trials preferred.

Application Instructions
The position will begin October 1, 2025. Qualified candidates should submit a one-page cover letter, a sample of data analysis materials (e.g., codebooks, syntax, summary report) and the names, phone numbers, and email addresses of three references via Interfolio.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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