We are excited to add a senior member to the Verastem Oncology biostatistics team! This role will be responsible for overseeing statistical activities for multiple clinical studies within a clinical development program, serve as a key contributor to study design and protocol development, and conceptualizing and performing analyses of clinical trial data. This is a hands-on position, and the individual will participate in a variety of strategic departmental initiatives as well as cross functional technology development and process improvement initiatives.

Responsibilities:

• Serve as a biostatistics leader within the organization, and manage statistical efforts for multiple clinical studies across a clinical program; provide leadership and guidance to other members of biostatistics and statistical programming team
• Formulate, carry out, and oversee statistical analyses of clinical trial data to advance clinical development programs and to facilitate external collaborations; communicate interpretation of results cross-functionally
• Lead regulatory submissions as needed including from a biostatistics and programming activities perspective; provide response to regulatory requests independently; ensure applicable understanding of team members of statistical aspects of regulatory interactions
• Author protocol sections on statistical methods and review/edit other sections including (but not limited to) endpoints, objectives and assessments, by applying statistical principles
• Author or oversee creation of statistical analysis plans for studies and/or ISS/ISEs; author/edit shells for tables, figures and listings
• Provide statistical input to independent data monitoring committee (IDMC) and independent review committee (IRC) charters, project management plan, and other study-level documents
• Create and manage timelines for SAPs, analysis specifications, and IDMC documents as needed by project/study teams
• Conduct statistical modeling to enable robust and efficient statistical designs and to address identified or potential statistical issues arising in studies or programs
• Review CRF designs to ensure data collection meet the study objectives and the requirements of statistical analyses; review and approve programming specifications for SDTM and ADaM datasets, pre-specified TLFs and ad-hoc analyses
• Support ongoing safety review and IDMC review of the clinical development program/study teams
• Perform ad hoc and exploratory statistical analyses as needed
• Contribute to clinical study reports, including authoring of statistical sections and interpretation of the study results
• Support the preparation of publications, including manuscripts, posters and oral presentations
• Provide oversight of CROs for outsourced statistical activities and QC key results generated by CROs

Qualifications:

• PhD in statistics or a related field with at least 8 years of relevant clinical trial experience or MS in statistics or equivalent with at least 11 years of relevant clinical trial experience
• Knowledge of statistical methods for clinical trials
• In-depth Knowledge of FDA, EMA and ICH regulations and guidelines
• Experience with NDAs, MAAs and other regulatory submissions is a plus
• Proficient in statistical programming (SAS is required and R is a plus)
• Experience with clinical trial design
• Good communication skills and ability to work with cross-functional study teams
• Good organizational skills, sufficient to multi-task in an extremely fast-paced environment with changing priorities
• Good analytical and problem solving skills
• Positive and collaborative attitude
• Oncology clinical trial experience preferred

The base salary range ($250,000 - $300,000) provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, location, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.