Director, Biostatistics

Treelinebiosciences; Watertown (MA); On-site; USD 226,425 - 257,000; Full time

Job summary

Treeline Biosciences in Watertown, MA is seeking a Director of Biostatistics to lead statistical strategy, design, and trial-level execution for early-phase oncology trials (Phase I/II). You will author SAPs and analyze data for novel cancer therapies.

This high-impact role involves CRO oversight, regulatory submissions, and translating complex results into executive-ready visuals. Required: PhD with 6+ biotech/pharma years or MS with 8+ years, plus 3+ years in early-oncology design and CSR

Qualifications

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

Responsibilities

• Trial design and execution for oncology protocols, including sample size, randomization, and adaptive designs.
• Statistical modeling and dose-finding methods (e.g., BOIN) and cohort expansion.
• Program, validate, and perform analyses for trial data cuts and CSR sections.
• Author SAPs, tables, listings, and figures (TLFs); support regulatory submissions.

Skills

R

SAS

Trial design & modeling

Communication skills

Education

Ph.D. in Biostatistics or Statistics

M.S. in Biostatistics or Statistics

Tools

Shiny

Job description

Director of 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.

Responsibilities

Trial Design & Execution

• 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).

Data Visualization & Insights

• 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.

Regulatory & Vendor Deliverables

• 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.

Cross-Functional Collaboration

• 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.

Qualifications & Skills

Education & Experience

• 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.

Technical & Soft Skills

• 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.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in Watertown is $226,425 - $257,000. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.