Data Science Jobs at NIH

Current Listings

Associate Director, Healthcare Delivery and Equity Research, National Cancer Institute (NCI), Center for Cancer Research (CCR)

The National Cancer Institute's (NCI) Center for Cancer Research (CCR) seeks a transformational leader in healthcare delivery in cancer research to build an independent research program and to direct CCR's institutional efforts to expand and improve the accessibility, equity, and reach of our nationally leading clinical research program. This opportunity is to build an impactful research program to identify barriers, develop strategies, initiatives and solutions and measure results related to trial outreach, referral and screening, enrollment, and continuity of care for the individual patient and populations. The successful candidate will also be responsible for developing, coordinating, and expanding our institutional strategies and developing community partnerships to co-develop programs to increase referrals and ensure equitable access and participation in CCR's clinical research protocols, particularly of underrepresented groups. For details, click the job link.

Apply now: https://service.cancer.gov/ccr-careers?id=ccr_careers_position_details&position=7822f6a71b615950079dea4ce54bcbc4

Open & close date: October 26, 2022 (Open until filled)

Required Education Level: Doctoral
Chief Medical Research Officer (CMRO), National Heart, Lung, and Blood Institute (NHLBI), Division of Blood Diseases and Resources (DBDR)

The National Heart, Lung, and Blood Institute (NHLBI) offers an exciting opportunity to provide high-level leadership, strategic planning, and detailed oversight and management of the extramural Division of Blood Diseases and Resources (DBDR) clinical trial focused portfolio in classical hematological blood diseases. The CMRO will be focused on ensuring the ethical and safe execution of DBDR-funded clinical research for clinical trials and large observational cohort clinical studies, coordinating risk management evaluations, and directing Data Safety Monitoring Boards (DSMBs), Observational Study Monitoring Boards, and Protocol Review Committees. The CMRO will contribute to the development of NHLBI-wide clinical research and will have leadership responsibility as a member of the NHLBI's clinical trials optimization and coordination team.

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Open & close date: April 17, 2023 to May 31, 2023

Required Education Level: Doctoral
CIT/SAS DATA Scholar Position, Center for Information Technology (CIT), SAS

Goals for this CIT/SAS DATA Scholar position are to (1) increase transparency, scientific quality and collaboration through improved public access to the aging and AD/ADRD cohort’s descriptive information, (2) assist the research community in identifying and accessing population-based resources for research in aging and AD/ADRD, and (3) develop a pilot cohort database of four longitudinal studies, in the Biomedical Research Informatics Computing System (BRICS - https://brics.cit.nih.gov/) data science platform. To apply to this or other DATA Scholar positions, please see instructions here: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
Computational Psychiatry Program Director - Health Scientist Administrator (Program Officer), National Institute of Mental Health (NIMH), Division of Translational Research

The Computational Psychiatry Program aims to foster innovative computational approaches to identify and validate novel mechanisms, biomarkers, and treatment targets relevant to the prevention and treatment of psychiatric disorders. The program supports research projects that use advanced computational tools with behavioral, biological, and/or clinical data to decipher complex mechanisms involved in mental disorders and to predict risk and treatment response. Toward these goals, the program also supports translational research focused on novel approaches to classification of mental disorders and the use of computational models for validating Research Domain Criteria (RDoC) constructs in the clinic.

Learn more and apply: https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-health-scientist-administrator-program-officer-5

Open & close date: January 1, 2023 (Open until filled)

Required Education Level: Doctoral
Data Science Program Manager, National Institute of Neurological Disorders and Stroke (NINDS), Division of Neuroscience

The successful candidate will serve as subject matter expert to staff and leadership regarding data science policies and the challenges they present, provide recommendations for advancing the NINDS mission through data science, and develop and implement methods to evaluate NINDS data science efforts. They will serve to both coordinate existing and future data science efforts which may provide opportunities to leverage the infrastructure and best practices and create efficiencies for these investments. They will provide expertise in support of existing and future data science efforts and policy development. They will be responsible for coordinating, tracking, assessing, and harmonizing existing data science efforts. They will provide leadership for advancing NINDS-wide data science knowledge by leading the Data Science Working Group and providing educational opportunities to both program personnel and the extramural community regarding data science best practices.

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Open & close date: November 4, 2022 (Open until filled)

Required Education Level: Bachelor’s
Deputy Chair NHLBI Data Access Committee, National Heart, Lung, and Blood Institute (NHLBI), Division of Cardiovascular Sciences (DCVS)

As NHLBI Deputy DAC Chair, tasks may include: Assisting in overseeing the process of and performing the reviews of Data Access Requests (DARs); Serving as the Genomic Program Administrator (GPA) for studies funded by the NHLBI Division of Intramural Research and for NHLBI’s TOPMed Program; Working with the DAC Leadership Team to train DAC reviewers and DAR applicants, streamline the NHLBI DAR review process, and implement the NIH Genomic Data Sharing (GDS) Policy and Data Management and Sharing (DMS) Policy; Serving as the DAC liaison to the NHLBI’s TOPMed Program Team and be involved in data sharing consultations for complicated cross-IC and/or public-private partnerships as needed. Desired expertise includes: experience with human subjects research, data sharing policies, and/or review of scientific or regulatory applications; working knowledge of research in human genetics; excellent communication skills; ability to handle complex cases; and excellent organizational skills.

Interested applicants should send their CVs & LOIs to Allyson Evans (Allyson.evans@nih.gov).

Open & close date: May 15, 2023 (Open until filled)

Required Education Level: Doctoral
Health Science Policy Analyst, Office of the Director (OD), Office of Disease Prevention (ODP)

The NIH Office of Disease Prevention (ODP) is seeking an energetic, highly motivated, detail-oriented professional to serve as a Health Science Policy Analyst (GS-601-13).

This position will develop, support and lead NIH-wide portfolio analysis and evaluation activities to inform prevention-related priority-setting and strategic initiatives. Efforts will support the implementation of the ODP Strategic Plan with a significant role and responsibilities across two ODP Strategic Priority (SP) Teams–SP I: Conduct Portfolio Analysis & Impact Assessment and SPII: Identify Research Gaps. More information about the Office of Disease Prevention can be found at https://prevention.nih.gov/.

To apply: Interested applicants can submit a cover letter, curriculum vitae (CV) or resume, and two examples of previously conducted portfolio analyses, evaluations and/or impact assessments to Marlon Bankhead at marlon.bankhead@nih.gov. Please include ‘ODP SPI and SPII Teams Analyst’ in the subject line.

Open & close date: October 3, 2022 (Open until filled)

Required Education Level: Bachelor’s
NCATS/DPI DATA Scholar Position, National Center for Advancing Translational Sciences (NCATS), Rare Disease Translational Research; DPI

Being a DATA Scholar requires deep experience in, and knowledge of, data and computer sciences and related fields at NIH. The goals and objectives for the OD/OER DATA Scholar project call is to gain a better understanding of drugs that target molecular pathways shared between multiple diseases can, in principle, be used to treat more than one disease, even if their clinical manifestations are very different. Aims of the project is to develop a computational framework with integration of biomedical, genomics, and clinical data, to identify shared molecular etiology among rare diseases to help inform drug repurposing and basket drug trial design. For more information on how to apply by May 31, 2023: https://datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NCATS/ODDPP LitCoin Natural Language Processing Coalescence, National Center for Advancing Translational Sciences (NCATS), Office of Drug Development Partnership Programs (ODDPP)

The DATA Scholar’s task will be to evaluate the eight NLP software systems made available through the challenge for their strengths and weaknesses, and to then combine and coalesce these NLP systems into a single system best suited to generate knowledge assertions from biomedical text from a wide range of subjects within translational research. This system will be used to generate foundational knowledge graphs from previously-published work, as well as to generate knowledge assertions from new LitCoin publications submitted by researchers for publication. This project will be critical to advancing the LitCoin program, which will greatly improve the findability of scientific knowledge and data that are associated with a publication. To apply to this DATA Scholar position: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NHGRI/OGDS DATA Scholar Position, National Human Genome Research Institute (NHGRI), Office of Genomic Data Science

The key goal of for the NHGRI DATA Scholar is to develop, implement and test interoperable, privacy-preserving and secure genomic analysis workflows and services that utilize the combination of datasets initially from AnVIL and the All of Us (AoU) platforms. Potential projects may include: a joint imputation service that uses AnVIL and AoU hosted datasets as reference panels, and structural variant analysis workflows on long sequence reads using the new Telomere-to-Telomere reference genomes. A Data Scholar will be actively engaged as a representative of the AnVIL team in the development of the technical requirements and oversight of the projects, working in collaboration with AnVIL and other platforms’ scientists and engineers, as well as NHGRI staff. For more information on how to apply by May 31, 2023: https://datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NHLBI/DCVS DATA Scholar Position, National Heart, Lung, and Blood Institute (NHLBI), Division of Cardiovascular Sciences (DCVS)

This DATA Scholar position is to leverage NHLBI’s data science resources in generating new knowledge on the impact of environmental exposures (exposome), including climate factors, on heart, lung, blood, and sleep (HLBS) conditions. The DATA scholar will lead efforts to integrate the linkage of geospatial, temporal environment, and climate data with complex multi-modal health and population data available in NHLBI data repositories such as BioData Catalyst (BDC), NHLBI’s cloud-based data science ecosystem (https://biodatacatalyst.nhlbi.nih.gov/). To apply to this or other DATA Scholar positions, please see instructions here: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NIAID/DAIT DATA Scholar Position, National Institute of Allergy and Infectious Diseases (NIAID), Division of Allergy, Immunology, and Transplantation (DAIT)

This DATA Scholar will apply large language models to understand how messaging works in the immune system and explore the possibility of applying advanced AI-based language models to understand immune cell communication. The communication among immune cells will unlock the understanding of how the immune system responds to foreign pathogens and allergens and protect its cells. Such knowledge will be critical to developing vaccines and preventing and treating immune-mediated diseases. To apply to this or other DATA Scholar positions, please see instructions here: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NIBIB/DHIT Data Scholar Position, National Institute of Biomedical Imaging and Bioengineering (NIBIB), Division of Health Information Technologies (DHIT)

Being a DATA Scholar requires deep experience in, and knowledge of, data and computer sciences and related fields at NIH. The goals and objectives of this DATA Scholar at NIBIB/DHIT is to perform a full analysis of the government’s OTC testing dataset, ultimately leading to a set of recommendations, opportunities, and limitations regarding use of self-test data for public health surveillance. Objectives would include performing QA/QC on the data, assessing the degree to which OTC data can replace or augment the role of laboratory/POC testing data, characterizing human behaviors around self-test reporting, answering health equity questions around self-testing, and building predictive models. For more information on how to apply by May 31, 2023: https://datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NIDCR/DER DATA Scholar Position, National Institute of Dental and Craniofacial Research (NIDCR), Division of Extramural Research (DER)

Integrating Multi-Dimensional Data to Promote Data-Driven Research in Oral Health and Oral Health Disparities" The goal for this DATA Scholar is to expedite research to better understand oral health and disparities in oral health, informing ways to improve all individuals’ oral health. This project tackles two major challenges in health care and biomedical research: 1) a general lack of integrated dental and medical records resultant from current healthcare practices, and 2) heterogeneity of available research and clinical data. The project will focus on developing a framework and platform for mining, harmonization and integration, and analysis of research and clinical data. To apply to this DATA Scholar position: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NIDDK/DDEM DATA Scholar Position, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Division of Diabetes, Endocrinology, and Metabolic Diseases (DDEM)

The overarching goal for this NIDDK DATA Scholar is to modernize the NIDDK biomedical data ecosystem by improving findability, accessibility, compatibility, and interoperability (FAIR) of clinical data resources, connecting basic and clinical research resources, and enabling cross disciplinary collaboration to accelerate the translation of scientific advancement into improved health and quality of life. To apply to this or other DATA Scholar positions, please see instructions here: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
NINDS/DON DATA Scholar Position, National Institute of Neurological Disorders and Stroke (NINDS), Division of Neuroscience (DON)

"Enhancement of the FITBIR Data Science Platform Analysis Tools to Advance Traumatic Brain Injury (TBI) Research." The NINDS DATA Scholar will increase transparency, scientific quality, and collaboration through improved access to Traumatic Brain Injury (TBI) data, enhance the system to better support AI ready data through the continued refinement of Common Data Elements (CDEs) by assigning Unified Medical Language System (UMLS) codes to each data element and its permissible values (i.e., value sets). The additional benefit of UMLS coding is that it supports the programmatic analysis of the data and develop requirements and support the development to extend the Query GUI interface to efficiently use UMLS codes to develop cohorts. To apply to this DATA Scholar position: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
OD/AoU DATA Scholar Position, Office of the Director (OD), All of Us Program

The All of Us data environment presents a complex computational challenge to researchers. Given the relative newness of the secondary use of EHR data at scale for research, concern about data quality impacting generalizability and accuracy of conclusions is of the utmost importance. Moreover, new methods in AI/ML are important to advance analytic use of the All of Us EHR data. The All of Us DATA Scholar will need expertise in EHR data and in developing, standardizing, and deploying analytic tools for exploring biomedical clinical, environmental, and scientific data in a cloud environment. The incumbent will help the program advance EHR phenotype data quality control and quality assurance grounded in transparency and scientifically accurate reporting appropriately addressing internal and external validity. For more information on how to apply by May 31, 2023: https://datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
OD/OER DATA Scholar Position, Office of the Director (OD), Office of Extramural Research (OER)

Being a DATA Scholar requires deep experience in, and knowledge of, data and computer sciences and related fields at NIH. The goals and objectives for the OD/OER DATA Scholar project call is to understand the potential benefits of persistent identifiers (PIDs) to strengthen infrastructure supporting metadata re-use, automation of data systems, and improved quality of disambiguated data elements with clearer relationships between them. Estimate the cost savings based on expected improved productivity of researchers and research support staff, against the costs incurred to integrate PIDs into funder and research organization data systems. Make recommendations for an NIH-wide PID strategy that is aligned with existing recommendations made by the Subcommittee on Open Science, Office of Science & Technology Policy. For more information on how to apply by May 31, 2023: datascience.nih.gov/data-scholars.

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Open & close date: May 1, 2023 to May 31, 2023

Required Education Level: Doctoral
Postdoctoral Bioinformatics Position, National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation (DPI), Informatics Core (IFX)

NCATS seeks applications from exceptional candidates to fill a postdoctoral bioinformatics fellow position in the Informatics Core (IFX) within the Division of Preclinical Innovation. The selected candidate will have a solid foundation in bioinformatics and biostatistics, including machine learning, and experience in cleaning, processing, and integrating metabolomic and other -omic datasets. Efforts will include developing novel bioinformatics methods, interacting closely with computational and noncomputational (e.g., biologists, chemists, clinicians) collaborators, building a computational infrastructure for the QC, analysis and interpretation of metabolomic and multi-omic profiles. He or she will be expected to draft manuscripts and publish results in high-impact, peer-reviewed scientific journals and to present results at internal and external scientific meetings.

To apply, please review details at https://ncats.nih.gov/jobs#postdoc-bioinformatics-dpi!

Open & close date: January 17, 2023 (Open until filled)

Required Education Level: Doctoral
Program Director, National Institute of General Medical Sciences (NIGMS), Bioinformatics and Computational Biolog

NIGMS is looking to hire a Program Officer with experience in bioinformatics, computational biology, and/or biostatistics to join our Bioinformatics and Computational Biology (BCB) Branch at the Division of BBCB. The successful candidate will be responsible for scientific and administrative management of grants portfolio in development and integration of computing, data modeling, statistics, and mathematics approaches into biomedical sciences. Applicants should have broad expertise in one or more of the following areas: computational biology, bioinformatics, applied mathematics or data science in biomedical sciences, and biostatistics. Research experience in genomics or -omics is a plus. Familiarity with NIH extramural funding as an applicant, reviewer, or NIH scientific administrator is a plus, and outstanding written and oral communication skills are essential.

Interested candidates should respond to the upcoming NIH Global Recruitment announcement for Health Scientist Administrators (HSA) through USAjobs.gov, which will only be posted May 15, 2023 through May 24, 2023. There will be two GS-12/13/14 HSA (Program Officer) vacancy announcements: One for federal employees and one for all other applicants. If you are interested in applying, we’d encourage you contact Dr. Jean Yuan (jean.yuan@nih.gov) prior to submitting your application.

Open & close date: May 15, 2023 (Open until filled)

Required Education Level: Doctoral
Staff Scientist / Biostatistician, National Institute of Environmental Health Sciences (NIEHS), Biostatistics and Computational Biology Branch

Seeking experienced biostatistician with expertise in statistical methods for analyzing high dimensional data, specifically the microbiome, metabolomics, and/or single cell RNA-seq data. The appointment will be at the rank of Staff Scientist BCBB of the Division of Intramural Research (DIR). This position will involve both the development and applications of new statistical methods for data resulting from studies and support the research program in BCBB on new and established projects in genomics, microbiome, metabolomics, and related areas. A strong background in statistical theory, computational skills and experience in the analysis of high dimensional data such as the microbiome and/or metabolomics data is required. Applicants should either have a Ph.D. in statistics or biostatistics, or in a related field. Appointees may be US citizens, or non-residents of the US with valid employment-authorized visa. For additional information, contact Dr. Shyamal Peddada at peddada@nih.gov.

Open & close date: January 20, 2023 (Open until filled)

Required Education Level: Doctoral

This page last reviewed on May 19, 2023

This page last reviewed on January 9, 2023