Postdoc Research Associate

University of Southern California; Glendale (CA); On-site; USD 64,480 - 72,000; Full time

Job summary

A prestigious research university is offering a postdoctoral research position in cancer and genetic epidemiology. The successful candidate will analyze genetic and omics data from diverse cohorts and study outcomes such as diabetes and biomarkers. Applicants must hold a Ph.D. in a relevant field, with a focus on analytical skills and independent work. The role involves collaboration with seasoned researchers and opportunities for publication. The salary ranges from $64,480 to $72,000, dependent on experience and qualifications.

Qualifications

• Ph.D. (or equivalent) with training in epidemiology, biostatistics and/or statistical genetics.
• Familiarity with common analytic tools for genetic association studies.
• Excellent written and verbal communication skills.
• Highly motivated and able to work independently.

Responsibilities

• Analyze risk factors, genetic and omics data from diverse cohorts.
• Study non-cancer outcomes including anthropometric traits and diabetes.
• Develop polygenic risk scores, conduct rare variant analysis.
• Participate in presentation of research findings and writing publications.

Skills

Epidemiology

Biostatistics

Statistical genetics

Communication skills

Analytic tools for genetic association studies

Education

Ph.D. or equivalent qualification

Job description

Position Overview

A postdoctoral research position in cancer and genetic epidemiology is available at the USC Center for Genetic Epidemiology within the Department of Population and Public Health Sciences at USC. The applicant must have a Ph.D. (or equivalent qualification) with training in epidemiology, biostatistics and/or statistical genetics. The postdoctoral fellow will work directly with Drs. Chris Haiman and David Conti on analyzing risk factors, genetic and other omics data from diverse cohorts including the Multiethnic Cohort study, the RESPOND African American prostate cancer study and other large-scale genetics consortia (e.g., NHGRI PAGE and PRIMED). In addition to cancer, non‑cancer outcomes such as anthropometric traits, diabetes, and biomarkers (lipids, glucose, insulin or inflammatory markers) will also be examined. Studies focused on polygenic risk score development, rare variant analysis and health disparities research will be available. The position requires a highly motivated individual with excellent written and verbal communication skills.

Responsibilities

• Analyze risk factors, genetic and omics data from diverse cohorts (Multiethnic Cohort, RESPOND, NHGRI PAGE, PRIMED, etc.).
• Study non‑cancer outcomes including anthropometric traits, diabetes, and biomarkers (lipids, glucose, insulin, inflammatory markers).
• Develop polygenic risk scores, conduct rare variant analysis, and research health disparities.
• Participate in presentation of research findings and writing of publications.
• Work directly with Drs. Chris Haiman and David Conti.

Qualifications

• Ph.D. (or equivalent) with training in epidemiology, biostatistics and/or statistical genetics.
• Familiarity with common analytic tools for genetic association studies.
• Excellent written and verbal communication skills.
• Highly motivated and able to work independently.

Preferred Experience

• Training in epidemiology, biostatistics and/or statistical genetics.

Minimum Requirements

• Ph.D. or equivalent doctorate earned within the previous five years.
• 0–1 year related postdoctoral experience.
• Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.

Salary

The annual base salary range for this position is $64,480–$72,000. Salary is determined by factors such as scope of responsibilities, candidate’s experience, education, and other considerations.

Application

Apply directly on the employer’s website.