Biostatistician

Key responsibilities: Build statistical methodologies and benchmarks for measuring clinical impact across access, learner outcomes, and social validity Design and execute analyses of large-scale observational data, ensuring accurate attribution of outcomes to care delivered Develop evidence-based clinical measurement strategies that inform product development and value-based care initiatives

Required qualifications: A master's or doctoral degree in biostatistics, statistics, epidemiology, public health, quantitative psychology, or a related field 5+ years of experience applying statistical methods to real-world or observational data, preferably in healthcare or related fields Strong knowledge of regression, multilevel modeling, longitudinal analysis, and causal inference methods Proficiency in R or Python and SQL, with a commitment to reproducible analytic workflows Experience writing statistical analysis plans and contributing to peer-reviewed publications