Director, Quantitative Lead
Posted 117ds ago
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Job Description
Director, Quantitative Lead guiding statistical design and quantitative decision-making for clinical development programs. This senior role blends biostatistics and modeling in a modern analytical environment.
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.
- Guide Statistical Data Scientists in the implementation, visualization, and reproducible execution of exploratory models.
- Ensure quantitative analyses are implemented within reproducible, metadata-driven frameworks.
- Partner with Statistical Data Scientists and programming teams to translate quantitative intent into executable specifications.
- Support validation, traceability, and audit readiness of all quantitative workflows.
- Provide quantitative interpretation for study teams, governance discussions, and regulatory documents.
- Review CSRs and contribute to regulatory responses involving quantitative rationale.
- Mentor Statistical Data Scientists and Statistical Programmers on modeling, statistical methodology and interpretation.
Requirements:
- PhD or Master’s in Biostatistics, Statistics, Data Science, Applied Mathematics, or related quantitative discipline.
- 8-12+ years of quantitative experience in clinical development.
- 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.
- Excellent communication skills with the ability to present quantitative insights to cross-functional stakeholders.
- Experience working closely with Statistical Data Scientists and Statistical Programmers.
Benefits:
- 99% of the premium paid for medical, dental and vision plans.
- Company-paid life insurance, AD&D, disability benefits.
- Dollar-for-dollar match up to 6% on eligible 401(k) contributions.
- Long-term stock incentives and ESPP.
- Discretionary quarterly bonus.
- Flexible wellness benefit.
- Generous PTO, paid holidays and company-wide shutdowns.



















