Director, Medical Analytics and Exploratory Data Science

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.

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.

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.

Statistical Leadership

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

Project Management

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

Complex Statistical Models

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

Quality Assurance

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

External Partnerships

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

Mentorship

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

Regulatory and Scientific Communication

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