Director Biostatistics

The Director of Biostatistics will lead the statistical strategy, design, and trial-level execution for early-phase oncology clinical trials (Phase I/II). This is a high-impact, trial-focused role responsible for authoring statistical analysis plans, executing complex statistical models, and directly analyzing data for novel cancer therapies. The Director ensures that early-development trials—from First-in-Human (FIH) dose escalation to Proof-of-Concept (PoC)—are designed and analyzed with the highest level of scientific rigor.

• Trial Architecture:
  Lead the statistical design and execution of individual oncology protocols, including sample size calculations, randomization schemes, and adaptive design simulations.
• Statistical Modeling:
  Implement and execute trial-level dose-finding methodologies, such as Bayesian Optimal Interval (BOIN), and cohort expansion models.
• Analysis & Programming:
  Program, validate, and perform statistical analyses for trial data cuts, Safety Review Committees, and Dose Escalation Meetings.
• SAPs & Output:
  Author trial-specific Statistical Analysis Plans, design shell tables, listings, and figures (TLFs), and write statistical sections of Clinical Study Reports (CSRs).
• Visual Reporting:
  Design and build dynamic data visualizations, dashboards, and interactive graphics (e.g., using R/Shiny) to track real-time dose escalation, safety signals, and biomarker trends.
• Translate complex statistical outputs and trial models into intuitive, high-impact visual decks for executive leadership, investors, and scientific advisory boards.
• CRO Management:
  Provide direct technical oversight to CRO programmers and biostatisticians, verifying all trial-level deliverables for quality and accuracy.
• Regulatory Submissions:
  Prepare data packages and statistical rationales for Investigational New Drug (IND) submissions and expedited regulatory filings.

• Study Teams:
  Serve as the core biostatistician on clinical trial working groups, collaborating daily with Clinical Leads, Data Managers, and Biomarker scientists.
• Data Integration:
  Blend pharmacokinetic (PK/PD) and translational biomarker data into trial-level exploratory analyses to identify early safety or efficacy signals.

• Ph.D. in Biostatistics or Statistics with 6+ years of biotech/pharma experience, OR
• M.S. in Biostatistics or Statistics with 8+ years of biotech/pharma experience.
• Minimum of 3 years of hands-on experience designing, modeling, and analyzing early-phase oncology trials (Phase I/II).
• Proven track record of taking individual oncology trials from protocol design through final CSR.

• Advanced, hands-on programming expertise in R and SAS (specifically for trial simulations, complex oncology datasets, and visualization packages like Shiny).
• Expert knowledge of early oncology endpoints (e.g., DLT, PFS, ORR, RECIST 1.1, Lugano criteria).
• Comfort working in a fast-paced environment with a high volume of early-stage data iterations.
• Outstanding written and verbal communication skills, with a proven ability to influence matrixed teams and explain statistical concepts simply.