Senior Research Data Scientist, Health Policy Analytics

University of Southern California; Los Angeles (CA); Hybrid; USD 106,000 - 122,000; Full time

Job summary

The Leonard D. Schaeffer Center for Health Policy & Economics at USC is seeking a Research Data Scientist (HR title: Research Programmer II) to support cutting-edge health policy research using large-scale health care data.

This full-time, fixed-term role offers a hybrid work arrangement and opportunities to lead analytics projects within a multidisciplinary team. Required qualifications include an MA/MS in a quantitative field and 5+ years of statistical programming experience (SAS/R/Python)

Qualifications

• MA/MS in statistics, data science, economics, applied mathematics, or related quantitative field (or equivalent).
• 5+ years of experience with statistical programming (SAS, R, Python).
• Experience with health care claims data (Medicare/Medicaid or commercial).
• Experience with SQL, Snowflake, and AWS.

Responsibilities

• Lead and execute complex data analyses using large-scale health care data.
• Design and build data pipelines, research tools, and analytic infrastructure.
• Ensure data quality and reproducibility through QA processes.
• Manage projects, timelines, and cross-functional coordination.
• Supervise and mentor junior staff.
• Translate complex data into actionable policy insights.

Skills

Statistical programming (SAS, R,Python

Administrative health care claims data

SQL

Snowflake data warehouses

AWS cloud platforms

Project leadership

Education

MA/MS in statistics/data science/economics or related field

Job description

The Leonard D. Schaeffer Center for Health Policy & Economics at USC is seeking a Research Data Scientist (HR title: Research Programmer II) to support cutting-edge health policy research using large-scale health care data.

This full-time, fixed-term role offers a hybrid work arrangement and opportunities to lead analytics projects within a multidisciplinary team. Required qualifications include an MA/MS in a quantitative field and 5+ years of statistical programming experience (SAS/R/Python)