Summary: The University of Southern California (USC) is seeking a dedicated Postdoctoral Scholar to join our research group focusing on health policy decision-making. We utilize advanced modeling and analysis techniques, collaborating with medical practitioners on various health issues. The ideal candidate will have a background in data analytics and a passion for improving health outcomes.
Designation:
Postdoctoral Scholar – Research Associate
Table:
| Item | Details |
|---|---|
| Job ID | REQ20174698 |
| Location | Los Angeles, CA |
| Employment Type | Full-time, One-year position |
| Salary Range | $72,000 – $79,000 annually |
| Start Date | Between June 2026 – September 2026 |
Research Area:
Health Research and Policy, Data Analytics, Health Outcome Prediction, Simulation Modeling
Eligibility/Qualification:
- Completed or nearing completion of a Doctorate in health research and policy, management science, industrial engineering, operations research, statistics, machine learning, or related fields.
- Strong research record.
- Expertise in data analytics/statistics/machine learning for prediction.
- Experience with healthcare data preferred but not required.
- Strong writing and verbal communication skills.
Job Description:
The postdoctoral scholar will be expected to:
- Utilize statistical and machine learning techniques to predict health outcomes using empirical data (both longitudinal and cross-sectional).
- Build and modify individual-level simulations for assessing the long-term cost and effectiveness of health interventions.
- Communicate findings to collaborators from various disciplines and incorporate feedback.
- Lead the research team in writing manuscripts and disseminating findings at scientific meetings.
How to Apply:
Interested candidates should submit a single document containing the following:
- Cover Letter
- Curriculum Vitae
- Research Statement (maximum 3 pages)
- List of at least 3 references
Last Date to Apply:
Until position filled
Join the USC Viterbi School of Engineering, a pioneer in technology and healthcare innovation, and contribute to impactful research improving health policy and outcomes.
