Computational Biology

Job Description

Dr. Alison Motsinger-Reif’s research group uses big data, machine learning, and computational approaches to conduct research discovering how environmental exposures and inter-individual variation in genetics, epigenetics, transcriptomics, and metabolomics contribute to complex human health traits (e.g. cardiovascular disease, allergic disease, and type 2 diabetes). The Motsinger-Reif group uses extensive exposure and ‘Omics data from the active NIEHS-managed Personalized and Gene Environment Study (PEGS) cohort, as well as the UKBiobank and the NIH-funded All of US cohort to identify gene by environmental (GxE) contributions to human health and to develop cutting edge statistical methods for the integration and analysis of this high dimensional data. The group is well-funded, and the fellow will have opportunities to conduct cutting-edge research and collaborate with other research groups at NIEHS while preparing for the next phase of their career in academia, industry or government research. Projects include both methods development and applied research opportunities. Research in the lab spans exposure science, mathematical and statistical modeling, and translational science with the goal of understanding contributions and risk factors to complex human disease traits. This involves the development of cutting edge methods and pipelines for integration of disparate data types to improve human health outcomes. There are numerous collaboration and networking opportunities with exceptional basic scientists, computational biologists, and clinicians at NIEHS. There will be numerous opportunities for exposure at NIH and international conferences. The NIH Intramural Research Program is the largest biomedical research institution in the world, with 1,200 Principal Investigators and over 4,000 Postdoctoral Fellows conducting basic, translational, and clinical research.
The successful postdoctoral position will be appointed at a competitive salary commensurate with experience with follow up yearly adjustments. A postdoctoral fellow in this position will also receive an additional $10,000 per year above published salaries as a supplement given the quantitative discipline. They will receive training and career benefits including health insurance for family, travel to meetings, and with a $3000 support package for relocation expenses.


Highly motivated individuals who have a Ph.D., M.D., or equivalent degree, preferably in statistical genetics, statistics, biostatistics, human genetics, computational biology, bioinformatics/biostatistics, or related areas are encouraged to apply. Experience in exposure science is an additional asset. Qualified candidates should also have strong communication skills and fluency in both spoken and written English, and a strong record of scientific achievement through peer-reviewed publications

To Apply:

Interested individuals should send:

  • a 1-2 page statement of research interests,
  • a current CV,
  • contact information for three references,
  • when/for how long you want to join the lab to Dr. Alison Motsinger-Reif at .

NIH is the premier biomedical research center for the world. It is dedicated to building a diverse, equitable, inclusive and accessible community in its training and employment programs.

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