Statistician - CTML

Statistical AnalystRequired Skills & Experience Strong R experienceMust be able to independently conduct statistical analyses in R Reproducible, well-documented code/workflows are importantBiostatistics / epidemiology backgroundExperience with randomized controlled trials and/or observational epidemiologic studies Should understand study design, outcomes, covariates, and interpretationCausal inference experienceExperience with at least some of: TMLE, propensity scores, inverse probability weighting Needs to understand how these methods are applied and interpretedHands-on statistical analysisDescriptive analyses Primary/secondary outcome analyses Sensitivity analyses Simulation analysesResearch communicationComfortable working with investigators, statisticians, data managers, research staff, and collaborating study sites Able to explain statistical findings to both technical and non-technical audiencesEducationBachelor's degree in a related area or equivalent experience/training is required PhD in a related area or equivalent experience/training is preferredNice 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 teamsJob 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.