Remote Research Data Analyst - Causal Inference (R)

University of California-Berkeley; Berkeley (CA); Hybrid; USD 52,000 - 62,000; Full time

Job summary

University of California, Berkeley seeks a Research Data Analyst to conduct statistical analyses for domestic HIV prevention research across three study sites. The role requires implementing analysis plans, preparing tables and figures for monitoring, manuscripts, and presentations, and coordinating with site data managers and staff.

The candidate will work under the lead statistician to ensure reproducible analytic workflows using R and established causal inference methods, with opportunities

Qualifications

• Knowledge of biostatistical principles and epidemiologic designs (RCTs, observational, cohort).
• Experience with causal inference and ML methods (TMLE, propensity scores).
• Proficiency in coding reproducible analytic workflows in R.

Responsibilities

• Implement pre-specified analyses for randomized trials and related studies under the lead statistician.
• Build and maintain pooled analytic datasets from site data and EHR sources.
• Draft statistical analysis plans and maintain version-controlled code and data dictionaries.

Skills

Biostatistics

R programming

Data management

Statistical reporting

Communication

Education

Bachelor's degree in related area

Advanced degree (preferred)

Tools

R

Job description

University of California, Berkeley seeks a Research Data Analyst to conduct statistical analyses for domestic HIV prevention research across three study sites. The role requires implementing analysis plans, preparing tables and figures for monitoring, manuscripts, and presentations, and coordinating with site data managers and staff.

The candidate will work under the lead statistician to ensure reproducible analytic workflows using R and established causal inference methods, with opportunities