Statistician

Insight Global; Berkeley (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

Insight Global is seeking a biostatistics-focused researcher to support public-health investigations involving infectious diseases and non-communicable conditions. You will build analytic datasets, run analyses in R, and contribute to publications and reports.

You will design studies, validate data, and document reproducible workflows while collaborating with investigators, statisticians, data managers, and study sites. A doctorate is preferred but not required with equivalent experience.

Qualifications

• Bachelor's degree in a related area or equivalent experience required.
• PhD in a related area or equivalent experience/training preferred.
• Strong ability to conduct statistical analyses in R and document workflows.

Responsibilities

• Build analytic datasets and conduct statistical analyses in R.
• Contribute to statistical analysis plans and validate data.
• Produce tables, figures, reports, and publication materials.
• Explain findings to technical and non-technical audiences.

Skills

R programming

Statistical analysis

Reproducible workflows

Biostatistics

Epidemiology

Causal inference

TMLE

Propensity scores

Inverse probability weighting

Data visualization

Descriptive analysis

Outcome analysis

Simulation analyses

Communication with researchers

Education

Bachelor's degree in related field

PhD preferred

Tools

Git/version control

RStudio

Job description

This person will support public-health research involving infectious diseases such as HIV and tuberculosis, as well as non-communicable diseases. The work includes randomized trials and observational studies. They will build analytic datasets, execute statistical analyses in R, contribute to statistical analysis plans, validate data, and produce tables, figures, reports, and publication materials. The largest portion of the job, 40%, is statistical analysis. Another 25% focuses on study design/data collection and 20% on analysis plans and analytic documentation.

REQUIRED SKILLS AND EXPERIENCE

• Strong R experience
• Must be able to independently conduct statistical analyses in R
• Reproducible, well-documented code/workflows are important
• Biostatistics / epidemiology background
• Experience with randomized controlled trials and/or observational epidemiologic studies
• Should understand study design, outcomes, covariates, and interpretation
• Causal inference experience
• Experience with at least some of: TMLE, propensity scores, inverse probability weighting
• Needs to understand how these methods are applied and interpreted
• Hands-on statistical analysis
• Descriptive analyses
• Primary/secondary outcome analyses
• Sensitivity analyses
• Simulation analyses
• Research communication
• Comfortable working with investigators, statisticians, data managers, research staff, and collaborating study sites
• Able to explain statistical findings to both technical and non-technical audiences
• Education Bachelor's degree in a related area or equivalent experience/training is required
• PhD in a related area or equivalent experience/training is preferred

NICE TO HAVE SKILLS AND EXPERIENCE

• HIV or infectious-disease research
• Community-based research experience
• Public-health/clinical research environment
• Advanced causal inference experience
• Git/version control and highly reproducible workflows
• Experience producing analyses for manuscripts/publications
• Experience collaborating with multidisciplinary research teams