- 100% research position focused on data analysis.
- Lead and coordinate data analysis for projects from national cohort studies related to downstream health impacts of adolescent behaviors.
- Lead projects related to adolescent digital technology use (e.g., screen time, Fitbit), physical activity, and cardiovascular health, and mental health.
- Analyze data from large national cohort studies such as the Adolescent Brain Cognitive Development (ABCD) Study and the National Longitudinal Study of Adolescent to Adult Health (Add Health).
- Interpret and write up results, tables, and figures for peer-reviewed publications, conferences, and other public dissemination.
- Secondary responsibilities would include supporting/supervising graduate/medical students and support for grant-applications including preparation of preliminary analyses.
Team: The Nagata Lab in the Division of Adolescent and Young Adult Medicine at the University of California, San Francisco is focused on using epidemiology and data science to determine downstream health effects of adolescent and young adult behaviors. Dr. Jason Nagata, MD, MSc, an Assistant Professor of Pediatrics, will be the supervisor for this position. The lab fosters interdisciplinary collaborations across medicine, psychology, social work, nutrition, epidemiology, biostatistics, and others. The lab environment also includes a wonderful team of students and trainees. More info about the lab and research topics can be found at the lab website: https://nagatalab.ucsf.edu/
Environment: The postdoctoral fellow will be part of the Division of Adolescent and Young Adult Medicine in the Department of Pediatrics at the University of California, San Francisco, one of the oldest divisions devoted to adolescent health in the country. The Division also includes two federally-funded national research centers in adolescent health, including the National Adolescent and Young Adult Health Information Center, which focuses on the intersection of health policy, guidelines, and implementation science for adolescent and young adult health.
Pay and Benefits
Applicants will be given a one-year contract, with the possibility for renewal up to three years.
Postdoctoral Fellow: Please visit UCSF’s web page devoted to postdoctoral fellow pay and benefits: https://postdocs.ucsf.edu/pay-and-benefits
Project: The main research focus is to determine prospective associations between contemporary digital media exposures and mental/physical health outcomes in adolescents, including data collected during the COVID-19 pandemic. The outcomes of this work can inform guidelines and interventions to maximize benefits of adolescent screen time while mitigating potential risks. The postdoctoral scholar will analyze data from the Adolescent Brain Cognitive Development (ABCD) Study, the largest longitudinal study of brain development and child health in the United States. The study follows 11,878 children (ages 9-10 in 2016-18) recruited from 21 U.S. research sites for 10 years. Our lab also has access to data from other national cohorts such as the National Longitudinal Study of Adolescent to Adult Health (Add Health) and The PRIDE Study. These data support interdisciplinary research bridging the social, biological, and computational sciences.
- PhD, DrPH, or equivalent doctorate in epidemiology, biostatistics, public health, or a related field.
- Strong programming skills in Stata (preferred), SAS, R, or equivalent (required).
- Strong quantitative skills including statistical modeling (e.g., linear and logistic regression, mediation, interaction, longitudinal analyses)
- Knowledge of epidemiology and population health measurement
- Excellent communication and interpersonal skills (e.g., data visualization, writing)
- Proficiency with Microsoft Word, PowerPoint, and Excel.
- Ability to work independently with minimal supervision as well as part of a team
To be considered, please send a cover letter, CV, references, and a coding sample to [email protected] (see further details below). Informal inquiries are welcome and can be directed to Dr. Jason Nagata ([email protected]).
- Cover letter that indicates your interest in the position. Please include comments on the following: skills and background in statistical programming; interests in epidemiology of adolescent and young adult health; career goals.
- CV – most recently updated
- References – Names and contact (e-mail and phone) of three or more individuals who can provide a reference (e.g., PhD supervisor).
- Coding sample – please submit a sample of your analysis code (preferably in Stata, others acceptable) and results corresponding to the findings (can be a peer-reviewed publication or written results/tables/figures).