Associate Director, Medical Analytics and Exploratory Data Science

Scorpion Therapeutics; California (MO); On-site; USD 190,000 - 270,000; Full time

Job summary

Scorpion Therapeutics seeks an Associate Director of Biostatistics to lead design, analysis, and interpretation of exploratory data, real-world evidence, and HEOR studies in oncology. This role collaborates with cross-functional teams to deliver rigorous statistical assessments.

Candidates hold a Ph.D. or M.S. in Statistics/Biostatistics with substantial biostatistics experience in biotech/pharma, proficiency in SAS/R, and strong communication and project management skills.

Qualifications

• Ph.D. or M.S. in Statistics/Biostatistics required.
• Minimum 5 years (Ph.D.) or 8 years (M.S.) biostatistics experience in biotech/pharma.
• Expertise in oncology-specific statistical methods.
• Strong communication and project management skills.

Responsibilities

• Lead statistical analyses using clinical trial data and real-world studies.
• Collaborate with cross-functional teams (clinical, medical, safety, regulatory, commercial).
• Apply advanced statistical methodologies (e.g., survival analysis, causal inference, machine learning).
• Develop analysis plans, review statistical deliverables, and contribute to scientific publications.

Skills

Biostatistics

Statistical analyses

Survival analysis

Causal inference

Machine learning

SAS

R

Communication

Project management

Education

Ph.D. or M.S. in Statistics/Biostatistics

Tools

SAS

R

Job description

Role

Associate Director of Biostatistics within the Medical Analytics and Exploratory Data Science group, focusing on design, analysis, and interpretation of exploratory data, real-world evidence, post-marketing research, and HEOR studies in oncology.

Responsibilities

lead statistical analyses using clinical trial data and real-world studies, collaborate with cross-functional teams (clinical, medical, safety, regulatory, commercial), apply advanced statistical methodologies (e.g., survival analysis, causal inference, machine learning), develop analysis plans, review statistical deliverables, and contribute to scientific publications.

Requirements

Ph.D. or M.S. in Statistics/Biostatistics, minimum 5 years (Ph.D.) or 8 years (M.S.) biostatistics experience in biotech/pharma, expertise in oncology-specific statistical methods, proficiency in SAS/R, strong communication, and project management skills.

Preferred

knowledge of RWD, HEOR, and advanced modeling approaches.

HighValue

oncology, exploratory analyses, real-world data, post-marketing research, health economics, and outcomes research.

WorkSetup

not specified.