Director, Biostatistics

Monte Rosa Therapeutics; Boston (MA); On-site; USD 180,000 - 230,000; Full time

Job summary

Monte Rosa Therapeutics in Boston seeks a Director of Biostatistics to lead the design, analysis, and interpretation of Phase 1–3 clinical trials with a focus on oncology and inflammatory diseases. The role combines scientific leadership with hands-on execution and CRO oversight to deliver high-quality statistical deliverables.

You will partner with Clinical Development and external collaborators to shape trial design, analysis plans, and regulatory-ready outputs, while remaining actively

Qualifications

• Leadership in biostatistics and trial design
• Experience with Phase 1–3 oncology/inflammation trials
• CRO oversight and regulatory knowledge

Responsibilities

• Statistical leadership for Phase 1–3 studies and trial design
• Oversee CROs and deliverables for datasets, TLFs, CSRs
• Collaborate with Clinical Development on regulatory submissions
• Maintain consistent statistical approaches across programs
• Mentor statisticians and programmers to CDISC standards

Job description

The Director of Biostatistics is a hands‑on statistical leader responsible for the design, analysis, and interpretation of Phase 1–Phase 3 clinical trials with a primary focus on inflammation and oncology indications. This role combines scientific leadership with active execution and intensive CRO oversight, ensuring high‑quality statistical deliverables across outsourced clinical studies.

The Director will work closely with Clinical Development and external partners to drive trial design, analysis strategies, and regulatory‑ready outputs while remaining directly involved in study‑level statistical activities.

Resonsibilities

Statistical Leadership

• Lead and personally contribute to statistical strategy and execution for Phase 1–3 clinical studies, including first‑in‑human, dose‑escalation, proof‑of‑concept, and registrational trials in oncology and inflammatory diseases.
• Provide direct input into trial design, endpoint selection, sample size justification, interim analyses, and adaptive strategies, particularly for early‑stage development
• Author, review, and approve:
• Statistical sections of clinical protocols
• Statistical Analysis Plans (SAPs)
• Tables, listings, and figures (TLFs)
• Clinical Study Reports (CSRs)

CRO Oversight & Execution

• Serve as the primary statistical point of contact for CROs, providing close, day‑to‑day oversight of outsourced biostatistics and programming activities
• Actively review CRO deliverables for scientific accuracy, consistency, and regulatory compliance, including datasets, analysis outputs, and reports
• Ensure CROs adhere to agreed‑upon timelines, quality standards, CDISC/CDASH conventions, and statistical methodologies
• Lead CRO selection, scope definition, and ongoing performance management for biostatistics and programming services

Cross‑Functional & Regulatory Engagement

• Partner closely with Clinical Development to ensure statistical approaches align with program objectives and clinical strategy Finish
• Provide statistical expertise for data monitoring committees, interim analyses, and data review meetings
• Contribute directly to regulatory submissions, briefing documents, and responses to health authority questions
• Represent biostatistics in cross‑functional development teams and external regulatory interactions as needed

Operational Focus

• Ensure the timely production and accuracy of all statistical analyses and integrated reports across assigned studies
• Maintain consistency of statistical approaches across programs while remaining flexible to study‑specific needs
• Stay current on evolving statistical methodologies, regulatory expectations, and industry best practices relevant to oncology and inflammation trials

Statistical Programming Oversight

• Direct and mentor statistical programmers to ensure accurate, timely, and compliant production of CDISC-compliant datasets (SDTM/ADaM), tables, listings, and figures (TLFs) for clinical study reports.
• Translate Statistical Analysis Plans (SAPs) into clear, actionable programming specifications and define data structure requirements for external CRO partners or internal teams.
• Ensure rigorous quality control (QC) and validation of analysis datasets and statistical outputs to meet FDA/EMA regulatory standards.\