Praxis is looking to hire a Director, Quantitative Lead to guide statistical design, quantitative decision-making, and modeling across their clinical development programs, blending biostatistics, exposure-efficacy/safety modeling, exploratory analyses, and quantitative strategy within a modern, metadata-driven analytical environment.
Requirements
- Statistical modeling (MMRM, GLM, logistic models, Bayesian methods, longitudinal models)
- Exposure-efficacy and/or exposure-safety analyses
- SAP authorship and study design
- Simulation-based decision support
- Strong proficiency in R (required); Python or Stan experience a plus
- Familiarity with CDISC ADaM/SDTM preferred
Responsibilities
- Lead statistical design for clinical studies, including estimands, endpoint selection, sample size, and modeling approaches
- Author or oversee SAPs and associated analysis specifications
- Guide quantitative strategy across exploratory, interim, and confirmatory study phases
- Lead exposure-efficacy and exposure-safety analyses using clinical exposure metrics
- Apply statistical modeling approaches in R or Python
- Develop simulation-based scenarios to support dose selection and benefit-risk assessments
- Oversee blinded exploratory analyses using ARR and other metadata-driven layers
Other
- PhD or Master's in Biostatistics, Statistics, Data Science, Applied Mathematics, or related quantitative discipline
- 8-12+ years of quantitative experience in clinical development
- Excellent communication skills with the ability to present quantitative insights to cross-functional stakeholders
- Experience working closely with Statistical Data Scientists and Statistical Programmers.
- Discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns.
