University of Southern California
Just Landed
Posted Yesterday
Postdoctoral Scholar - Research Associate in Genetic Epidemiology and Quantitative Genomics University of Southern California in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive salary starting above the NIH postdoc baseline; annual base salary range $70,304 - $71,000; minimum two-year appointment, renewed annually, and extendable upon performance.
Country
United States
University
University of Southern California
Apply for this position
Keywords
Suggested positions
About this position
This postdoctoral position is based at the USC Center for Genetic Epidemiology in the Department of Population and Public Health Sciences at the University of Southern California. The successful candidate will join a research setting focused on genetic epidemiology and quantitative genomics.
The postdoctoral fellow will work directly with Dr. Kelsey Johnson on the statistical analysis of genetic and genomic data drawn from studies of human milk, lactation, and infant and maternal health. The project combines genetic and genomic approaches with population-based health research, offering opportunities to contribute to work at the intersection of genomics and reproductive/early-life health.
The advert emphasizes analysis of genetic and genomic datasets, including work with biobank-scale and multiomic data, within an academic environment at USC's Health Sciences Campus. The position is described as part of a dynamic and diverse research university setting in Los Angeles.
Funding details
Competitive salary starting above the NIH postdoc baseline; annual base salary range $70,304 - $71,000; minimum two-year appointment, renewed annually, and extendable upon performance.
What's required
Applicants should have a Ph.D. (or equivalent qualification) in human genetics, epidemiology, biostatistics, computer science, bioinformatics, computational biology, or a related field. Proficiency in one or more programming languages such as R or Python is required, and proficiency in a Unix-based computing environment is preferred. Experience analyzing biobank-scale genetic data and/or multiomic datasets is a plus.
How to apply
Send a CV and cover letter to Dr. Kelsey Johnson at [email protected]. Applicants may also contact Dr. Johnson for informal inquiries.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.