Remote Research Data Analyst - Biostatistics & Causal Inference

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

Job summary

UC Berkeley is seeking a Research Data Analyst to perform statistical analyses for a domestic HIV prevention program across three study sites. You will implement analysis plans, prepare tables and figures, and work closely with site data managers and investigators.

The role requires strong knowledge of biostatistics, causal inference methods, and proficiency in R. You will contribute to IRB submissions and documentation while supporting dissemination of findings.

Qualifications

• Working knowledge of biostatistical principles and epidemiologic study designs.

Responsibilities

• Implement pre-specified analyses for randomized trials and related studies under the lead statistician.
• Build, document, and maintain pooled analytic datasets from three site datasets and EHR sources.
• Contribute to drafting of statistical analysis plans and data dictionaries.
• Prepare monitoring reports, DSMB tables, and figures for manuscripts and presentations.
• Coordinate with site data managers and study staff on data deliveries and analytic requests.
• Participate in workshops and professional development activities.

Skills

Biostatistics

Epidemiology

Causal inference

R programming

Data management

Team coordination

Communication

Education

Bachelor's degree in related area

Advanced degree (preferred)

Tools

R

Job description

UC Berkeley is seeking a Research Data Analyst to perform statistical analyses for a domestic HIV prevention program across three study sites. You will implement analysis plans, prepare tables and figures, and work closely with site data managers and investigators.

The role requires strong knowledge of biostatistics, causal inference methods, and proficiency in R. You will contribute to IRB submissions and documentation while supporting dissemination of findings.