Remote Research Data Analyst - Causal Inference

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

Benefits offered by this job

Remote work

Job summary

The University of California, Berkeley's Center for Targeted Machine Learning and Causal Inference (CTML) seeks a Research Data Analyst to support a domestic HIV prevention program across three sites. You will implement pre-specified analyses in R, generate tables, figures, and summaries for monitoring, manuscripts, and presentations, coordinating with site data managers.

The role emphasizes statistical analysis, data construction, documentation, and collaboration with multidisciplinary teams; a

Qualifications

• Working knowledge of biostatistical principles and epidemiologic study designs.
• Proficiency in R and reproducible analytic workflows.
• Ability to coordinate with investigators and study staff.

Responsibilities

• Implement pre-specified analyses for randomized trials and observational studies in R.
• Build pooled analytic datasets from site data and EHR sources.
• Draft statistical analysis plans and maintain code and data dictionaries.
• Prepare monitoring reports, DSMB tables, and figures for manuscripts.
• Coordinate with site data managers for data deliveries and analytic requests.
• Participate in workshops and professional development activities.
• Perform other duties as required.

Skills

Biostatistics

Epidemiology

R programming

Causal inference

Machine learning

Statistical analysis

Data coordination

Communication skills

Education

Bachelor's degree

Advanced degree (Preferred)

Tools

R

Job description

The University of California, Berkeley's Center for Targeted Machine Learning and Causal Inference (CTML) seeks a Research Data Analyst to support a domestic HIV prevention program across three sites. You will implement pre-specified analyses in R, generate tables, figures, and summaries for monitoring, manuscripts, and presentations, coordinating with site data managers.

The role emphasizes statistical analysis, data construction, documentation, and collaboration with multidisciplinary teams; a