Director, Biostatistics

ClinLab Solutions Group; Boston (MA); On-site; USD 180,000 - 300,000; Full time

Job summary

ClinLab Solutions Group seeks a Director of Biostatistics to lead statistical strategy for early-phase oncology trials (Phase I/II). You will author SAPs, design analyses, and drive trial-level modeling and data interpretation to support PoC opportunities.

In this role, you will oversee CROs, ensure CDISC SDTM/ADaM compliance, and build real-time visual dashboards (R/Shiny) for stakeholders, while translating complex results into clear executive decks.

Qualifications

• Ph.D. in Biostatistics or Statistics with 6+ years of biotech/pharma experience, OR MS with 8+ years.
• Minimum of 3 years hands-on experience designing, modeling, and analyzing early-phase oncology trials (Phase I/II).
• Proven track record of taking oncology trials from protocol design through final CSR.
• Advanced, hands-on programming in R and SAS with visualization (Shiny).
• Expert knowledge of early oncology endpoints (DLT, PFS, ORR, RECIST 1.1, Lugano).

Responsibilities

• Lead statistical design and execution of oncology protocols, including sample size, randomization, and adaptive design simulations.
• Implement and execute trial-level dose-finding methods (e.g., BOIN) and cohort expansion models.
• Program, validate, and perform analyses for trial data cuts, SRCs, and DE meetings.
• Author SAPs and output, design tables/listings/figures, and write CSR sections.
• Design and build dynamic data visualizations and dashboards (R/Shiny) for dose escalation, safety, and biomarker trends.
• Translate complex statistical outputs into intuitive executive visuals for leadership and boards.
• Oversee data standards (CDISC SDTM/ADaM) for early-phase tracking and regulatory readiness.
• Direct CRO oversight for programmers and biostatisticians to ensure quality.

Skills

R programming

SAS programming

Statistical modeling

Data visualization

Communication skills

Education

PhD in Biostatistics

MS in Biostatistics

Tools

R

SAS

Shiny

Job description

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 Data Standards: Oversee trial-level data compliance, mapping data structures strictly to CDISC standards (SDTM, ADaM) for early-phase tracking.
• 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 & ExperiencePh.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 SkillsAdvanced, 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.