The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

• Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

• Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

• Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

• Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

• Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

• Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

• Hands-on experience in exploratory analysis of oncology trials.

• Proven ability to independently lead statistical aspects of complex, cross-functional projects.

• Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Excellent interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

• Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

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