Data Science Jobs at NIH | Data Science at NIH

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(link sends e-mail)).

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

Required Education Level: Doctoral
Health Science Policy Analyst, Office of the Director (OD), Office of Portfolio Analysis (OPA)
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
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
Postdoctoral Fellowship in Bioinformatics and Evolutionary Genomics, National Human Genome Research Institute (NHGRI), Division of Intramural Research

A postdoctoral position is currently available in the laboratory of Andy Baxevanis, Ph.D., whose group is currently leading efforts to analyze the genomes of colonial hydrozoan species. The regenerative abilities of colonial hydrozoans such as Podocoryna and Hydractinia make them excellent models for the study of key questions related to pluripotency, allorecognition, and stem cell biology, work that will be significantly advanced by the availability of high-quality whole-genome sequencing data from these organisms. The successful applicant will have the opportunity to develop and apply bioinformatic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways. For complete information on this opportunity, including how to apply, please follow the link above.
Apply Now

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

Required Education Level: Doctoral
Scientific Program Analysts, National Institute of Neurological Disorders and Stroke (NINDS), Division of Extramural Activities (DEA) / Data Modeling and Analytics Branch (DMAB)

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
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 September 5, 2023