Statistician - CTML
- Oakland, CA, United States
From $45 USD / hour
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Job details
- Pay
- From $45 USD / hour
- Posting language
- English
- Posted
Original job description
Required Skills & 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 & 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
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.