Jobs · Analyst · Massachusetts

Director, Biostatistics

Monte Rosa Therapeutics · Boston, MA · 4 mo ago
AnalystFull-time

Responsibilities

  • 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), and Clinical Study Reports (CSRs).
  • 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.
  • Partner closely with Clinical Development to ensure statistical approaches align with program objectives and clinical strategy.
  • Contribute directly to data monitoring committees, interim analyses, and data review meetings.
  • Represent biostatistics in cross-functional development teams and external regulatory interactions as needed.
  • 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.
  • 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.
  • Collaborate with data management and clinical teams to resolve data issues and ensure consistency between clinical databases and statistical outputs.
  • Develop and implement efficient statistical programming workflows, macros, and best practices to improve productivity and compliance across multiple clinical trials.
  • 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.
  • Develop and implement efficient statistical programming workflows, macros, and best practices to improve productivity and compliance across multiple clinical trials.
  • Collaborate with data management and clinical teams to resolve data issues and ensure consistency between clinical databases and statistical outputs.
  • Implement and maintain robust quality assurance processes for statistical programming and reporting.

Requirements

  • PhD in Biostatistics, Statistics, Mathematics, Computer Science, or related field
  • 15+ years of experience supporting clinical drug development, including Phase 1-Phase 3 trials and regulatory submissions
  • Demonstrated experience working in CRO-heavy models, with direct responsibility for reviewing and managing outsourced statistical work
  • Strong expertise in clinical trial statistics, regulatory standards (FDA, ICH), and industry best practices
  • Proficiency with SAS and other commonly used statistical software

Qualifications

  • Expertise in statistical methods relevant to oncology and inflammatory disease trials
  • Experience with regulatory submissions and briefing documents
  • Ability to work effectively in a cross-functional team environment
  • Strong communication and collaboration skills

Skills

  • Statistical programming
  • Data management
  • Interdisciplinary collaboration
  • Regulatory compliance

Benefits

N/A

Pay

N/A

Schedule

N/A

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