Research Post-Doctoral Fellow in Genetic Epidemiology/Statistical Genetics

2000 Broadway
Oakland, CA 94612
United States
Job Posted Date: 
July 19, 2021
Full-time Positions
Postdoc Positions
Global Health
Life Sciences

The Research Post-Doctoral Fellow will work under the supervision of Dr. Hélène Choquet (Research Scientist and Principal Investigator) on a variety of NIH-funded projects including: (a) studying the genetics of eye diseases, such as glaucoma; (b) investigating the genetic factors underlying nonmelanoma skin cancers; and (c) studying the genetic mechanisms that drive the development of abdominal hernias. 

These projects will integrate advanced genetic and genomic approaches, using an exceptional resource consisting of a cohort of more than 100,000 adults with genome-wide genotype data that are linked to participants’ electronic health records, to address the following goals: 1) advance our understanding of disease etiology; 2) identify potential molecular targets for the development of treatment; and 3) predict future disease risk based on genetic information, along with demographic, clinical, and behavioral factors.

Roles and responsibilities of the Fellow include conducting independent genetic and statistical analyses, writing manuscripts for peer-reviewed publication and presentation of abstracts at scientific meetings and assisting in overall study conduct (e.g., design requirements for databases and data validation) and in grant writing and submission.

Job Requirements: 

The successful candidate will ideally have methodological training in statistical genetics, genetic epidemiology, and/or bioinformatics, programming skills, content knowledge in human genetics, strong writing skills, experience in the publication of scientific manuscripts, and interest and experience in grant writing.

Basic qualifications:

  • Ph.D. or equivalent graduate degree in statistical genetics or genetic epidemiology, and/or bioinformatics.
  • Ability to work independently with appropriate supervision while being a team player
  • Strong communication and writing skills are required.
  • Expertise in statistical programming (ideally in R) is strongly preferred.
  • Experience analyzing genome-wide association study (GWAS), sequencing, gene expression or other ‘omics’ datasets will be highly valued.
  • Experience with development of genome-wide polygenic risk scores (GPS) is a plus.
How to Apply: 

To apply, please go to, job #970569 or submit a cover letter, CV, and the names of three references to Hélène Choquet, PhD at [email protected] (Research Scientist and Principal Investigator). 

Greater Bay Area