Description
- 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).
- Specific analyses include structural equation modeling, mediation analyses
- 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 Associate 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 data analyst 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. It is one of seven programs nationally designated as a Leadership Education in Adolescent Health (LEAH) training site by the Maternal and Child Health Bureau. 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 two-year contract, with the possibility for renewal.
Research Data Analyst/Specialist: Competitive salary including full benefits will be provided commensurate with experience and qualifications.
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 Data Analyst 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. These data support interdisciplinary research bridging the social, biological, and computational sciences.
Required Qualifications
- PhD, DrPH, or equivalent doctorate in epidemiology, biostatistics, public health, or a related field.
- Excellent data analysis/programming skills in Stata (preferred) and/or R for quantitative analyses (e.g., regression, mediation, interaction, longitudinal analyses)
- Strong understanding of biostatistics and epidemiological methods
- Past experience with structural equation modeling and mediation analyses (preferred)
- Strong communication and interpersonal skills (written and oral) in English
- Demonstrated publication record
- Ability to work independently with occasional supervision as well as part of a team
The initial appointment is for 2 years, with the possibility for renewal for 1 additional years.
The start date can be as soon as convenient for the applicant.
Applications: Please submit to Dr. Jason Nagata at jason.nagata@ucsf.edu
- Cover letter that indicates your interest in the position. Please include comments on the following: skills and background in statistical programming; past experience with structural equation modeling/mediation analyses (if applicable); interests in epidemiology of adolescent and young adult health; career goals.
- Sample code.
- CV – most recently updated
- References – Names and e-mail addresses of 3 individuals who can provide a recommendation (including the PhD supervisor).
- Coding sample – please submit a sample of your analysis code (preferably using structural equation modeling or mediation analysis) and results corresponding to the findings (can be a peer-reviewed publication or written results/tables/figures).
- Informal inquiries are welcome. Please contact jason.nagata@ucsf.edu
Commitment to Diversity, Equity, & Inclusion
UCSF and the Nagata Lab are committed to reflecting diversity in its faculty, students, and other academic personnel.