Associate Director, Biostatistics

Bicara TherapeuticsBoston, MA
4dHybrid

About The Position

Bicara is seeking an experienced Associate Director, Biostatistics, to lead statistical activities supporting our clinical oncology programs. This individual will provide both strategic direction and hands-on expertise, shaping study design, data analysis, and evidence generation. In this highly visible role within a growing biotech organization, the Associate Director will collaborate closely with internal teams and external partners to deliver high-quality, data-driven insights that advance our oncology pipeline. The ideal candidate thrives in a dynamic, fast-paced environment and is eager to contribute both technically and strategically to program success. This role is based in our Boston office and follows a hybrid schedule, with three in-office days each week.

Requirements

  • Master’s degree or PhD in Biostatistics, Statistics, or a related quantitative field.
  • Minimum 8 years of industry experience, including 5+ years in oncology clinical development.
  • Demonstrated hands-on experience in designing and analyzing oncology trials (e.g., dose escalation, expansion cohorts, or registrational studies).
  • Strong and proficient programming skill in SAS and/or R; working knowledge of CDISC standards (ADaM, SDTM).
  • Strong problem-solving, communication, and organizational skills.
  • Ability to work independently in a fast-paced environment.
  • Experience managing CROs and collaborating in a cross-functional matrix team.

Nice To Haves

  • Prior experience supporting regulatory submissions and interactions is preferred.

Responsibilities

  • Serve as the lead statistician for assigned oncology programs and studies.
  • Partner cross-functionally with Clinical, Regulatory, Medical, Statistical Programming, and Data Management teams to define and execute statistical strategies aligned with development objectives.
  • Provide statistical input to clinical protocols, SAPs, CRFs, and data management plans; oversee execution of analyses and reporting deliverables.
  • Perform or oversee statistical analyses using SAS and/or R, ensuring scientific rigor and reproducibility.
  • Manage and oversee deliverables from CROs and external vendors, providing statistical review, feedback, and quality control.
  • Contributes to the design and implementation of innovative statistical methodologies to enhance the efficiency and interpretability of oncology studies.
  • Promote statistical literacy across cross-functional teams, helping colleagues understand key concepts and data-driven insights.
  • Support the development of publications, abstracts, and presentations through data interpretation and statistical input.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service