Postdoctoral Scholar Research Associate
Core
Developing statistical and population genetic methods using genomic data to understand the evolution, architecture of complex traits, and history of diverse human populations.
Role type
Postdoctoral Research Associate (Population Genetics & Bioinformatics)
Builds
Statistical methods for analyzing genetic variation and large-scale genomic datasets
Domain
Human genetics, population genetics, bioinformatics
Deliverable
production ML models | research
Required skills
Python, C++, Unix-based computing environment, statistical analysis, population genetics theory
Preferred skills
R, experience with large genetic datasets, method development (via careerplan.io/jobs/REQ20172410-postdoctoral-scholar-research-associate-at-usc)
Technologies
Python, C++, R, Unix
Responsibilities
Develop methods for statistical and population genetic applications based on the ancestral recombination graph; analyze genetic variation data to infer demographic history or natural selection; contribute to ongoing research projects funded by R01 grants.
Seniority
Postdoctoral Researcher