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The mission of the Leonard D. Schaeffer Center for Health Policy & Economics (Schaeffer Center) is to measurably improve value in health through evidence-based policy solutions, research excellence, transformative education, and private- and public-sector engagement. With its extraordinary breadth and depth of expertise, the Schaeffer Center will have a vital impact on the transformation of healthcare.
The Schaeffer Center is seeking a Data Science Lead to provide programming support, quality assurance and project management oversight, programmer supervision and mentorship, and creation of data science infrastructure and common tools to support the mission of the Schaeffer Center. The Data Science Lead will be an integral part of their research team and the state-of-the-art data core at the Schaeffer Center. This is a full-time, two year fixed-term (renewable), hybrid work arrangement position.
Experience supervising and successfully managing an analytics team to execute analyses and produce deliverables to meet project and budget constraints is required. Quantitative training in economics, statistics, applied mathematics, or quantitative social science. SAS or Stata experience required. The Data Science Lead is an integral part of the research team and works closely with the principal investigator and a multidisciplinary research team. The Data Science Lead also works closely with the Director of Data and Analytics to build our data science infrastructure, identify common tools and resource of use to the Center, and provide mentorship to other analysts and programmers. The key role is to develop a plan to adapt data that are complex to answer research questions. This position utilizes creativity and innovation to solve conceptual programming problems raised by cutting-edge research.
Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.
Required Qualifications:
- MA/MS in Statistics, quantitative social science, economics, mathematics or related field – combined work experience and education substitutable as equivalent
- Experience supervising and mentoring other analysts
- Has successfully managed project execution, timeline, budget, and analyst resources.
- Quantitative training in data science, economics, statistics, applied mathematics, or quantitative social science
- 5 or more years of experience with SAS, Stata, R or similar statistical software
- 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.
Preferred Qualifications:
- Experience in health economics, health policy, public health, or similar discipline
- 7 or more years of experience with SAS, Stata, R or similar statistical software.
Compensation:
The annual base salary range for this position is $102,703 – $115,000. 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.
The University of Southern California is an Equal Opportunity Employer that Values Diversity.
Minimum Education: Master’s degree Minimum Experience: 3 years Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS and programming languages such as FORTRAN, C++.
REQ20132237 Posted Date: 04/13/2023