Job Description/Responsibilities
We seek a post-doctoral fellow to join a dynamic, interdisciplinary team of social-behavioral scientists studying the potential impact of providing Guaranteed Income (GI) and financial supports to low-income Black emerging adults (ages 18-24). Envisioning a more equitable and healthy future requires bold interventions to address poverty, racism, the chronic stress built from poverty and racism, and its fundamental impact on health. One approach to transforming structural inequities is providing a guaranteed income, without contingencies or burdensome requirements. Pilot GI programs tested with low-income adults have shown impressive gains in economic security that have impacted markers of health and well-being. GI programming could help upend poverty and economic inequity by provided Black youth with the security, time, and supports needed to enable their transition into financial independence and adulthood. Through the structure of a randomized waitlist trial, we aim to determine what GI can do to address financial, mental health and physical health disparities in Black youth, as well as examine catalyzing potential of youth support groups, financial coaching, and community response paired with the GI opportunity.
We are seeking a fellow to help design and conduct research on addressing the social determinants of health within our team of epidemiologists, psychologists, health economists, and social scientists situated at UCSF Division of Prevention Science, Oregon Health & Science University- Portland State University School of Public Health (OHSU/PSU), MyPath, and UC Berkeley School of Public Health. Principal responsibilities include performing data analysis, manuscript development, assisting with study protocols and design, and working with the team to develop new grants to build on the currently funded research. Analysis and manuscript development will be conducted under the direction of a senior investigative team, with strong emphasis placed on career development, training in grantsmanship, interdisciplinary research, and translation of science into programming and policy. The initial appointment is for two years, with possibility of extension for an additional year if progress towards independent funding is satisfactory. The fellow will be based at UCSF, at the Mission Bay campus and will be supervised by U01 MPI Dr. Sheri Lippman, Associate Professor and Director of the Implementation Science and Health Services Core. The fellow will also have ample opportunities to collaborate with MPI Dr. Marguerita Lightfoot, Professor and Associate Dean for Research at OHSU/PSU, as well as with additional faculty in the Division of Prevention Science at UCSF. The successful applicant will be expected to attend weekly post-doctoral seminars provided through the UCSF/ CAPS program.
This study is supported by a five-year U01 cooperative agreement awarded through the NIH Office of the Director Common Fund to support Transformative Research to Address Health Disparities. More information on the Common Fund Initiative can be found here: https://commonfund.nih.gov/healthdisparitiestransformation
This position requires a PhD in epidemiology, biostatistics, demography, health economics, psychology, or a related scientific discipline that requires strong quantitative skills. Other required qualifications include (1) a strong publication record; (2) strong skills in statistical programming and analysis using SAS, R, and/or Stata, including the ability to generate univariate and bivariate descriptive statistics, experience with fitting cross-sectional linear, logistic, and survival analysis regression models, and exposure to longitudinal data analysis; (3) excellent writing and communication skills, and (4) demonstrated cultural competence and community engagement skills, and (5) 1-2 years professional experience (post-masters).
Additional desired qualifications include familiarity with research on the social determinants of health and/or social epidemiology, analysis of multilevel and clustered data sets, analysis of longitudinal data, use of advanced methods for addressing missing data (e.g., multiple imputation; full-information maximum likelihood estimation), mediation analysis, causal inference methods. Research experience in low-income, urban neighborhoods is highly valued.
To be eligible for the fellowship, applicants must hold a PhD or equivalent degree and must be an American citizen, a non-citizen national of the U.S. (e.g., from American Samoa), or have been lawfully admitted to the U.S. for permanent residence and have an Alien Registration Receipt Card (I-151 or I-551).
Please submit the following materials to [email protected] by February 1st, 2021:
- Curriculum Vitae
- A detailed Cover Letter, including a summary of relevant experience, research interests, and statement of long-term career goals.
- Three letters of reference
Interviews will take place in February and the position will begin in June or July, 2021.