Postdoc: Genetic Epidemiology & Quantitative Genomics

University of Southern California; Los Angeles (CA); On-site; USD 70,000 - 71,000; Full time

Job summary

University of Southern California is seeking a Postdoctoral Scholar Research Associate in genetic epidemiology and quantitative genomics to work with the USC Center for Genetic Epidemiology in the Department of Population and Public Health Sciences. The successful candidate will focus on statistical analysis of genetic and genomic data from studies of human milk, lactation, and infant and maternal health.

The position requires a Ph.D.

Qualifications

• PhD in human genetics, epidemiology, biostatistics, computer science, bioinformatics, computational biology, or a related field.
• Proficiency in one or more programming languages (R, Python, etc.).
• Proficiency in a Unix-based computing environment preferred.
• Experience analyzing biobank-scale genetic data and/or multiomic datasets is a plus.

Responsibilities

• Analyze genetic and genomic data from studies of human milk, lactation, and infant and maternal health.
• Collaborate with Dr. Kelsey Johnson and USC Center for Genetic Epidemiology on statistical analyses.
• Contribute to methodological development in genetic epidemiology and quantitative genomics.

Education

PhD in related field

Tools

R

Python

Unix/Linux

Job description

University of Southern California is seeking a Postdoctoral Scholar Research Associate in genetic epidemiology and quantitative genomics to work with the USC Center for Genetic Epidemiology in the Department of Population and Public Health Sciences. The successful candidate will focus on statistical analysis of genetic and genomic data from studies of human milk, lactation, and infant and maternal health.

The position requires a Ph.D.