Associate Director, Medical Analytics and Exploratory Data Science

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

• Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

• Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

• Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

• Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

• Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

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

• Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 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.

• Ability to work independently and within a team.

• Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

• Familiar with regulatory requirements related to biostatistical activities and clinical trials.

• Strong verbal and written communication skills are required.

• Strong 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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