Postdoctoral Fellow - Bioinformatics


Van Andel Research Institute


Grand Rapids, Michigan

Principal Investigator



Van Andel Research Institute’s Labrie Laboratory, under the direction of Viviane Labrie, Ph.D., has a position available for one postdoctoral fellow.

The Labrie Lab studies the combined effect of genetic factors, epigenetic marks, and 3D chromatin architecture in Alzheimer’s disease and Parkinson’s disease.

Specifically, we are interested in candidates with a background in bioinformatics and computational biology.

This postdoctoral position is available for a motivated Ph.D. graduate who meets the qualifications and description outlined below. The fellow will investigate the contribution of epigenetic factors to neurodegenerative diseases.

The overall goal of the project is to study epigenetic mechanisms contributing to neurodegenerative diseases, in order to better understand the biology underlying these illnesses. The candidate will use cutting-edge techniques to search for epigenetic alterations in patient samples and animal models, and perform an integrative analysis that incorporates genetic factors and chromatin 3D structure. The results from these studies could lead to development of novel prognostic and therapeutic strategies to improve clinical outcomes of neurodegenerative disease. Working with work with Dr. Labrie and her research team, the candidate will help guide research directions and provide expertise to facilitate the highest level of contribution to reach the project objectives.

Qualified applicants should provide a cover letter outlining research experience and interests, a curriculum vitae, and the names and address of three references.

Non-U.S. citizens are eligible to apply.

Interested candidates should apply at


  • A Ph.D. graduate with a computer science background and/or experience and publications in the fields of bioinformatics, genetics, or epigenetics.
  • Computational skills, including experience with scripting and bioinformatic tools and packages, are needed. A candidate with experience with developing pipelines/software for biological datasets (especially next-generation sequencing data). A good working knowledge of neuroscience and (epi)genetic topics are preferred.
  • Experience with scientific writing and publication.
  • Must provide the names of three individuals who can provide recommendations and present a scientific seminar describing his or her previous research.

Description of a successful candidate:

  • A self-motivated and driven individual who is able to exhibit exceptional research productivity and take responsibility for independent management of the project.
  • A detail-oriented researcher who thinks critically to effectively design experiments and solve complex research problems.
  • A strong ability to take initiative and work independently, as well as in a team environment.
  • A collaborative, hands-on researcher who proactively shares knowledge and expertise with lab members.
  • Excellent written and oral communication skills (recent evidence of scientific publication).