USC is a leading private research university located in Los Angeles – a global center for arts, technology and international business. As the city’s largest private employer, responsible for more than $5 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic schools and units. As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family - the faculty, staff, students and alumni who make USC a great place to work. Think you’ve got what it takes to join us? We invite you to search our open positions and apply!
Senior Quantitative Analyst, Health Research Microsimulation
The Leonard D. Schaeffer Center for Health Policy and Economics (Schaeffer Center) is seeking a Senior Quantitative Analyst to provide programming support on microsimulation health research projects that use large and complex healthcare databases (administrative claims data, electronic health records, survey data, etc).
The Senior Quantitative Analyst provides programming support on microsimulation research projects, and helps maintaining multiple and diverse databases carried by the center. Quantitative training required in econometrics, statistics, applied mathematics, or quantitative social science. SAS or Stata experience required. The programmer is an integral part of the research team and works closely with the principal investigator and a multidisciplinary research team. The key role of the programmer is to develop a plan to adapt data that are complex and very large in scope to answer research questions. Programmers also execute the analytical plan for the project in conjunction with graduate students. Manages large data files. Utilizes creativity and innovation to solve conceptual programming problems raised by cutting-edge research. Programmers are also part of a state-of-the-art data core at Schaeffer Center with opportunity for peer interaction and mentoring.
MA/MS in Statistics, quantitative social science, health economics, mathematics or related field
Quantitative training in econometrics, statistics, applied mathematics, or quantitative social science
3 or more years of experience with SAS, Stata, R or similar statistical software
Experience with longitudinal panel survey data
Exposure to simulation techniques and methods
Serves as lead programmer or technical specialist on research projects
Relevant work experience to provide strong technical knowledge of programming and analysis as well as senior or lead experience. Demonstrated ability to stand in for researchers as circumstances require.
Demonstrated creativity and innovation in solving conceptual programming problems.
PhD in Statistics, quantitative social science, health economics, mathematics or related field
C++ or other object-oriented programming language
Experience in health economics, health policy, public health, or similar discipline
5 or more years of experience with SAS, Stata, R or similar statistical software.
Experience with large administrative databases, survey data, claims data, electronic health records data
The Schaeffer Center combines research and policy to promote evidence-based health care reform, and to train a new generation of global health policy leaders. Its mission is to promote health and value in health care delivery through innovative research and policy in the United States and internationally.
REQUIRED DOCUMENTS: Cover letter and resume.
SPECIAL INSTRUCTIONS: Please state your minimum salary requirement and salary history in your attached cover letter.
The University of Southern California values diversity and is committed to equal opportunity in employment.
Minimum Education: Master's degree, Combined work experience and education as equivalent Minimum Experience: 3 years Minimum Field of Expertise: Relevant work experience to provide strong technical knowledge of programming and analysis as well as senior or lead experience. Demonstrated ability to stand in for researchers as circumstances require. Demonstrated creativity and innovation in solving conceptual programming problems.