Associate Director, Non-Clinical Statistics

Job Description Summary

Multiple Positions Available.

This position will be located in Cambridge, MA USA or Basel, Switzerland but can not be located remotely.

#LI-Hybrid

About the role:

We are building a novel non-clinical statistics function within our Data Science and Modeling and Simulation team in PK Sciences which is part of our Translational Medicine Organization. We are seeking an Associate Director Non-Clinical Statistics, who can independently support one of our key disease areas. This role engages with scientists, project teams, and disease areas across Biomedical Research.

 

Job Description

Major accountabilities:

·        Collaboration: Work closely with scientists, project teams, and disease areas to integrate statistical methodologies into research and development processes.

·        Statistical Support: Provide expert statistical support for non-clinical studies, ensuring robust data analysis and interpretation.

·        Innovation: Contribute to the development and application of innovative statistical techniques

·        Training and Mentorship: Mentor junior statisticians and data scientists, promoting a culture of continuous learning and professional growth..

·        Cross-Functional Representation: Represent non-clinical statistics on cross-functional teams to provide effective statistical consideration and collaborate closely with scientists across Biomedical Research.

·        Statistical Approaches: Ensure and implement statistically sound approaches for the design, analysis, reporting, and interpretation of exploratory and regulatory non-clinical studies.

Automation Development: Develop automated solutions

Education: Ph.D. or Masters in Statistics, Biostatistics, or a related field strongly preferred. 

• Experience: Minimum of 6 years of experience in non-clinical statistics, with a strong working knowledge in biology, pharmacology and toxicology. 

• Technical Skills: Expertise in statistical software and programming languages (e.g., R, SAS, Python). 

• Communication: Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. 

• Innovation: Demonstrated ability to drive methodological innovation and apply advanced statistical techniques to complex problems. 

• Fluent in English (oral and written).   

 

Skills Desired

Automation, Biostatistics, Clinical Trials, Computer Programming, Cross-Functional Teams, Data Analytics, Decision Making Skills, Metadata Management, Statistical Analysis