Data Science Jobs at NIH

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

Address bioinformatics, scientific computing, and data analysis needs by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistics. Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities. Provide programming and troubleshooting support in the dissemination of research data.  Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, and machine learning data support to NIAID scientists and investigators.

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Open & close date: June 14, 2023 (Open until filled)

Required Education Level: Bachelor’s

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

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

NIDCD is seeking exceptional candidates with expertise and research experience in data science, generalist repositories, and cloud computing efforts leveraging "big data" for biomedical research (GS-12/13/14). The successful candidate will advise NIDCD-supported investigators across all research portfolios on implementing best practices from biomedical data science for data collection, storage, analysis, use, and sharing to ensure widespread access and accelerate the discovery of insights that will improve the lives of people with communication disorders. This will require management of a portfolio of data science grant awards, organization of workshops to engage stakeholders, promotion of cloud-based data sharing practices, and assistance to NIDCD staff in maintaining compliance with NIH data management and sharing policies. For more information, please submit a statement of interest to Dr. Roger Miller.

Open & close date: August 4, 2023 (Open until filled)

Required Education Level: Doctoral

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(link sends e-mail)).

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

Required Education Level: Doctoral

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

The Office of Portfolio Analysisis hiring a detail position!

The Office of Portfolio Analysis (OPA) is seeking exceptional candidates for a Health Science Policy Analyst detail opportunity (GS-14). This individual would support portfolio analysis and/or data science projects. This full-time 3-month position is open to federal employees, reimbursable, and potentially renewable. 

Duties may include, but are not limited to, using cutting-edge methods to:

• Measure productivity
• Detect emerging areas of research
• Improve analytical tools and/or databases

Candidates should have:

• Subject matter knowledge in a biomedical science, behavioral science, computer science, or related field
• Experience in management or peer review of one or more grant portfolios
• Experience in portfolio analysis or data science is preferred

OPA supports the NIH mission by expanding its analytic capabilities through development and dissemination of new methods, computational tools, and best practices.

For more information, please submit a current resume/CV and a statement of interest to Dr. George Santangelo, Director of the Office of Portfolio Analysis (george.santangelo@nih.gov).

Open & close date: February 22, 2023 (Open until filled)

Required Education Level: Bachelor’s

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

Open & close date: July 6, 2023 (Open until filled)

Required Education Level: Doctoral

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, biostatistics, and biophysics. 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 are encouraged to send an email with your Resume/CV and specific interests in BCB-managed programs to Jean Yuan and Dorothy Beckett.

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

Required Education Level: Doctoral

GS9-13 Scientific Program Analysts who will contribute to analysis and reporting projects on a diverse portfolio of extramural research investments and supporting operations.

The selected candidate will conduct both portfolio analysis projects and initiatives to improve research operations within the NINDS and in partnership with other ICs and enterprise system owners.

Requirements:

Strong project management skills.
Strong data visualization and presentation skills.
Experience with Qlik, Tableau or RShiny is highly desirable.
Experience with Python, R, SQL, or other coding languages is highly desirable.
 
Interested candidates, please submit a current resume/CV and a statement of interest to Dr. Brian Haugen, Chief for Data Modeling and Analytics, by September 15, 2023

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

Required Education Level: Bachelor’s

Open & close date: June 19, 2023 (Open until filled)

Required Education Level: Doctoral

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