Research Data Analyst , School of Public Health

Research Data Analyst (8273C), School of Public Health - #88447 About Berkeley

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The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. CTML's mission statement is to drive rigorous, transparent, and reproducible science by harnessing cutting‑edge causal inference and AI targeted towards robust discoveries, informed decision‑making, and improving health.

The Research Data Analyst conducts statistical analyses in support of a domestic HIV prevention research program conducted at three study sites that includes randomized trials and related observational studies. Working under the direction of the lead study statistician, this position implements pre‑specified statistical analysis plans in R, contributes analytic content to the drafting of those plans, and prepares tables, figures, and summary reports for study monitoring, manuscripts, and presentations.

The Research Data Analyst works routinely with site data managers and study staff at the three sites on data deliveries and analytic requests, exercising judgment within established practices on assignments of moderate scope and complexity.

The First Review Date for this job is:
September 7, 2026. For full consideration, please apply on or before the first review date.

• Implement pre-specified analyses for randomized trials and related studies under the direction of the lead statistician, including descriptive summaries, primary and secondary outcome analyses, and pre-specified sensitivity analyses. Apply established causal inference and machine learning based estimators (for example TMLE and related R packages) using specifications set by the lead statistician. Independently plan and run limited analyses and simulations addressing defined design or power questions.

• Build, document, and maintain pooled analytic datasets from the three site datasets and from Electronic Health Records (EHR) and administrative sources. Write and maintain reproducible derivation code. Specify what is needed from site data managers and verify that delivered data meet analytic requirements.