Postdoctoral Scholar - Research Associate

University of Southern California; Los Angeles (CA); Vor Ort; USD 70.000 - 71.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Ausbildung

PhD in related field

Tools

R

Python

Unix/Linux

Jobbeschreibung

A Postdoctoral Scholar Research Associate position in genetic epidemiology and quantitative genomics is available at the USC Center for Genetic Epidemiology in the Department of Population and Public Health Sciences. The postdoctoral fellow will work directly with Dr. Kelsey Johnson on the statistical analysis of genetic and genomic data from studies of human milk, lactation, and infant and maternal health. See our lab website for more details.

Candidates 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 (e.g. R, python, etc.) is required and proficiency in a Unix-based computing environment is preferred. Experience in analyzing biobank-scale genetic data and/or multiomic datasets is a plus.

The position duration is a minimum of two years, renewed annually, and is extendable upon performance. We offer a competitive salary starting above the NIH postdoc baseline and are open to flexible start dates.

The annual base salary range for this position is $ 70,304 - $71,000 . When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Candidates 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 (e.g. R, python, etc.) is required and proficiency in a Unix-based computing environment is preferred. Experience in analyzing biobank-scale genetic data and/or multiomic datasets is a plus.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.