Postdoctoral Scholar - Research Associate

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. Interested candidates should send a CV and cover letter to Dr. Johnson at kelsey.johnson@med.usc.edu. Applicants are also encouraged to reach out for any informal inquiries. 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. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC’s Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: https://wd5.myworkday.com/usc/d/inst/1$9925/9925$156471.htmld