Remote Research Data Analyst – Biostatistics

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 supporting a domestic HIV prevention program across three study sites. The role focuses on pre-specified analyses, data pooling from EHR and administrative sources, and producing tables and figures for reports and manuscripts.

The position requires expert R skills, knowledge of TMLE and causal inference methods, and the ability to collaborate with multidisciplinary teams while maintaining

Qualifications

• Working knowledge of biostatistical principles and epidemiologic study designs.
• Ability to coordinate with multidisciplinary investigators and staff.
• Experience with reproducible, well-documented analytic workflows.

Responsibilities

• Implement pre-specified analyses for randomized trials and related studies under the lead statistician.
• Build, document, and maintain pooled analytic datasets from multiple sources.
• Contribute to drafting statistical analysis plans and maintain code, data dictionaries, and analysis logs.
• Prepare monitoring reports, tables, 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.
• Other duties as assigned.

Skills

Biostatistics

Epidemiology

R programming

Statistical analyses

Data management

Collaboration

Education

Bachelor's degree in biostatistics or related field

Advanced degree preferred

Tools

R

TMLE

Propensity scores

Inverse probability weighting

Job description

University of California, Berkeley seeks a Research Data Analyst to conduct statistical analyses supporting a domestic HIV prevention program across three study sites. The role focuses on pre-specified analyses, data pooling from EHR and administrative sources, and producing tables and figures for reports and manuscripts.

The position requires expert R skills, knowledge of TMLE and causal inference methods, and the ability to collaborate with multidisciplinary teams while maintaining