Postdoctoral Associate, School of Public Health, Global Health

Boston University•Boston, MA
•$70,000 - $227,000

About The Position

The Department of Global Health at the Boston University School of Public Health (BUSPH) is seeking a Postdoctoral Associate with strong training in epidemiology, causal inference, and the analysis of large healthcare datasets. This role will join the research team of Dr. Alana T. Brennan, Associate Professor of Global Health and Epidemiology. The Postdoctoral Associate will play a central role in a newly funded NIH R01 examining the real-world effectiveness, safety, and cost-effectiveness of glucagon-like peptide-1 receptor agonists (GLP-1RAs) among people with HIV and type 2 diabetes. The study leverages Komodo Health's national longitudinal medical and pharmacy claims data linked with clinical and laboratory information to evaluate cardiovascular–kidney–metabolic (CKM) outcomes associated with GLP-1RA treatment. The R01 includes three complementary aims: characterizing real-world treatment patterns and early adverse events; estimating causal effects of GLP-1RAs versus other antidiabetes medications using target trial emulation; and evaluating long-term clinical and economic outcomes. The Postdoctoral Associate will primarily contribute to the epidemiologic and causal inference components of the study, with opportunities to collaborate across all three aims. This position is particularly well suited for an early-career epidemiologist interested in applying modern epidemiologic and causal inference methods to complex, large-scale real-world healthcare data.

Requirements

  • Strong training in epidemiology.
  • Strong training in causal inference.
  • Strong training in the analysis of large healthcare datasets.
  • Interest in applying modern epidemiologic and causal inference methods to complex, large-scale real-world healthcare data.

Nice To Haves

  • Prior experience in HIV, diabetes, or cardiometabolic research is not required.

Responsibilities

  • Contribute to the epidemiologic and causal inference components of the study.
  • Collaborate across all three aims of the NIH R01 study.
  • Apply modern epidemiologic and causal inference methods to complex, large-scale real-world healthcare data.
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