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UMBC Shady Grove Campus, 9631 Gudelsky Drive, Rockville, MD 20850
Posted: 10-Dec-22
Location: Ann Arbor, Michigan
Salary: Open
Internal Number: 227816
Interested applicants please submit (1) a letter of interest; (2) a curriculum vita; (3) contact information for two or three references who can supply a letter of recommendation. All general inquiries and questions about the position can be sent to nprieur@umich.edu.
The Population, Neurodevelopment and Genetics (PNG) Program is seeking a postdoctoral research fellow to work on identifying biosocial mechanisms that influence health and wellbeing across the life course. We do this using genomic data (genetic, epigenetic, gene expression, etc.) collected as part of large human population-based studies. This position is funded under a National Institute on Aging grant award to test risk factors for dementia in the United States Health and Retirement Study (R01 AG067592, MPIs Erin Ware and Kelly Bakulski).
Successful candidates will have the opportunity to perform quality control, data management, integration, and analysis of social, health, and genetic/epigenomic measures; assist with manuscript and grant writing; educate collaborators and lab members on methods used in analyses; supervise students rotating through the lab; stay abreast of new technology and analytic techniques; and present research activities within the group and at scientific meetings. Training and support for preparing applications for external funding would be provided.
- PhD degree or equivalent in computational biology, epidemiology, statistics, psychology, sociology, biostatistics, economics, computer science, bioinformatics, or other relevant fields.
- Experience with large health science databases or studies
- Analysis experience in R, SAS, STATA, or a similar statistical programming language
- Ability to work independently or collaboratively and to show initiative within a strong team dynamic
- Demonstrated interpersonal skills with excellent verbal and written English communication skills
- Prior experience with any of the following: DNA methylation data cleaning and analysis using Bioconductor packages (EWAStools, minfi, limma, etc.);r gene expression data cleaning and analysis; genome-wide analyses using R, PLINK, and METAL software;
- Knowledge of Unix/Linux environments; specifically, job management scripting (i.e. SLURM)
- Experience with code sharing and collaborative development tools (i.e. GitHub)
- Growth mindset mentality, open-science philosophy
- Strong commitment to diversity, equity and inclusion
- Knowledge of public databases and resources available for bioinformatics analyses and pipelines; programming experience in Python a plus
The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
Job openings are posted for a minimum of seven calendar days. Review of applications will begin immediately and will continue until the position is filled. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
U-M COVID-19 Vaccination Policy
COVID-19 vaccinations, including one booster when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine. This includes those working remotely and temporary workers. More information on this new policy is available on the U-M Health Response website or the UM-Dearborn and UM-Flint websites.
