The Dornsife Center for Economic and Social Research (CESR) at the University of Southern California (USC) has an exciting opportunity for a quantitative researcher with a background or a strong interest in health and social science research. A successful candidate is expected to work closely with researchers focusing on aging, inequality, and population surveys. The position provides ample opportunities for professional development and advancement. The annual base salary ranges between $72,738 and $91,557, and will be commensurate with experience.
CESR is a multidisciplinary research institute with about 100 staff and is dedicated to discovering how people around the globe live, think, interact, age, invest, and make important, life-changing decisions. Our in-depth research and analysis are deepening the understanding of human behavior in a wide range of economic and social contexts.
Essential Duties
- Plan and design highly technical and complex research projects in health-related and other social science fields, independently and in collaboration with project leads and other senior statistical personnel.
- With minimal supervision, independently execute research plan, including conducting the literature review, operationalizing the research hypotheses, conducting the statistical analyses, and preparing drafts of manuscripts and conference presentations.
- Contribute to applications for research funding, including identifying suitable study designs and conducting power analyses.
Qualifications
- PhD or equivalent doctorate degree with a minimum of 3 years of experience in psychology, sociology, public health, statistics, biostatistics, or related quantitative research fields is required.
- Fluency in literature review and information synthetization is required. Prior experience with research publications and conference presentations is strongly preferred.
- Fluency in statistical applications such as Stata, R, SAS, or similar software is required.
- Working knowledge of panel studies, survey research methods, experimental and quasi-experimental research designs is required.
- Expertise in statistical data analysis, including exploratory data analysis, basic and advanced inferential statistics, and power analysis is required.
- Experience with longitudinal data, multi-level modeling, and psychometrics is a plus.
- Excellent written and verbal communication skills.
- Ability to manage multiple projects with overlapping deadlines.
- Ability to work independently, and with researchers with different disciplinary backgrounds and varying levels of expertise in quantitative research methods and data analysis.
- Strong interest and some background in aging, inequality, and health-related fields is a plus.
Applications will continue to be accepted on a rolling basis until the position is filled. Early applications are encouraged.
Please apply by submitting at:
Inquiries can be directed to Dr. Ying Liu at liu.ying@usc.edu.