Postdoctoral Fellowship: Social Risk & Health Research
The Center for Population Health Sciences (PHS) is seeking a postdoctoral research fellow to collaborate on a portfolio of research projects related to the development and validation of social deprivation measures to guide federal and state resource allocations to historically underserved communities. The fellowship will provide training and mentoring in machine learning statistical approaches and data visualization, along with engagement with policy and community stakeholders with a focus on developing transparent and equitable deprivation metrics. The fellowship is thus equally focused on developing translatable statistical expertise along with engagement with those stakeholders who will be using these metrics.
PHS works in collaboration with diverse disciplines and sectors to leverage population level data to improve population health and health equity through addressing social determinants of health. We are partnering with the American Board of Family Medicine (ABFM) and the US Census Bureau to identify the area-based socioeconomic measure or measures that have the least variability across diverse population groups for prediction of health outcomes, for use in a range of public policy applications. The primary objective of this project is to produce social determinants of health indices that are the least biased for predicting: quality measures; area prevalence of conditions, quality, utilization, costs; and mortality. The postdoctoral fellow will collaborate with Professor David Rehkopf (PHS Faculty Director) and will have the opportunity to engage with faculty from across the University, including in statistics and sociology, to inform their research approach. The results of this project will have a short-term measurable impact on resource allocation decisions to historically under-resourced populations.
The fellowship is a one-year appointment, with the option to extend by mutual arrangement. Funding includes a living stipend plus certain medical, dental, vision, and life insurance coverage through Stanford's Postdoctoral Scholars program. Per Stanford funding rates guidelines, postdoctoral researchers receive a minimum stipend of $65,568, based on research experience.
- Demonstrated interest in social determinants of health research
- Experience utilizing different types of large scale datasets
- Strong written and interpersonal communication skills
- Strong quantitative skills
- Strong training in quantitative epidemiologic methods (e.g., causal inference methods, Bayesian methods)
- Experience using R required (experience with other software like SAS, Stata is helpful as well)
- Knowledge of the social determinants of health and/or public/population health principles and concepts desired
Interested applicants should submit the following materials:
- Curriculum vitae;
- Cover letter describing research interests to be pursued during training. If you have experience successfully collaborating with community partners, please note this in your letter.
We will request a sample publication/first-author manuscript with related analysis code and references later during the recruitment process.
Faculty Sponsor: David Rehkopf, Associate Professor of Epidemiology & Population Health, of Medicine (Primary Care and Population Health), and, by courtesy, of Sociology
Postdoc Appointment Term: One year, with option to extend by mutual arrangement
Appointment Start Date: Remote-work options and start date are negotiable