Principal Scientist / Associate Director, Statistical Pharmacogenetics

Role Summary

Principal Scientist / Associate Director in Statistical Pharmacogenetics within the Translational & Clinical Genetics team. You will design and deliver hands-on pharmacogenetic statistical analyses of clinical trial data, working in cross-functional teams to impact the portfolio. The role requires strong expertise in genetics, experience analyzing biobanks/observational cohorts or clinical trial data, and the ability to integrate omics data with genetics to generate translational insights.

Responsibilities

• Conduct hands-on pharmacogenetic analyses of clinical trials.
• Design and author statistical analysis plans and pharmacogenetic reports.
• Collaborate with cross-functional teams to oversee development and timely delivery of analyses and reports.
• Perform statistical genetic analyses including power calculations, single variant tests, burden tests, and polygenic risk scores.
• Integrate genetics and other omics data to gain novel translational insights.
• Understand strengths and limitations of different statistical genetic analyses for pharmacogenetics.
• Evaluate and implement new methodologies and technologies to improve analysis efficiency and effectiveness.
• Ensure compliance with relevant regulations and guidelines in pharmacogenetics.
• Assist clinical teams to incorporate pharmacogenetics into new clinical studies being designed and set up.

Qualifications

• Required: PhD or equivalent advanced degree in a relevant scientific discipline (e.g., statistical genetics, genetic epidemiology, biomedical statistics, computational sciences, bioinformatics) with a record of impactful scientific publications and/or presentations.
• Required: Expertise in statistical genetics.
• Required: Experience conducting genetic analyses of clinical trial data or other human genetic datasets (e.g., biobanks, observational cohorts).
• Required: Strong written communication skills to design and write pharmacogenetic statistical analysis plans and reports.
• Required: Proficiency in at least one of R or Python, with experience writing reproducible and scalable code that adheres to FAIR principles.
• Required: Excellent collaboration and partnership skills to work effectively within internal teams and across functions.
• Required: Demonstrated ability to communicate complex scientific concepts to diverse audiences and to work independently and in multidisciplinary teams to meet timelines.

Preferred Qualifications

• Preferred: Extensive experience in genetics and integrating genetics with other omics data to generate translational insights.
• Preferred: Familiarity with common statistical approaches used to analyze clinical trials.
• Preferred: Project management experience to oversee pharmacogenetic studies from registration to archiving.
• Preferred: Familiarity with stages of drug discovery and development.
• Preferred: Experience working in the pharmaceutical industry.

Education

• PhD or equivalent advanced degree in a relevant scientific discipline.