Associate Director, Statistical Pharmacogenetics

Role Summary

Associate Director, Statistical Pharmacogenetics, within the Translational & Clinical Genetics team of GSK’s Human Genetics and Genomics organisation. You will design and deliver hands-on pharmacogenetic statistical analyses of clinical trial data in cross-functional teams to impact the portfolio. You will apply genetics expertise to run a range of analyses (including genome-wide single-variant testing, burden testing, and polygenic risk scores) and integrate other omics data to generate translational insights in observational cohorts or clinical trials. This role offers opportunities to collaborate across therapeutic areas and to develop your scientific expertise through impactful work and publications. Location: UK (Stevenage/Cambridge) and USA (Upper Providence, PA).

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 the development and timely delivery of pharmacogenetic analyses and reports.
• Perform a range of statistical genetic analyses including power calculations, single variant tests, burden tests, and polygenic risk scores.
• Integrate genetics and other omics data in analyses to gain novel translational insights.
• Understand the strengths and limitations of different statistical genetic analyses for pharmacogenetics.
• Evaluate and implement new methodologies and technologies to improve the efficiency and effectiveness of genetic analyses.
• Ensure compliance with relevant regulations and guidelines in pharmacogenetics.

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 history of impactful scientific publications and/or presentations.
• Required: Expertise in statistical genetics
• Required: Experience of conducting genetic analyses of clinical trial data
• Required: Strong written communication skills to design and write pharmacogenetic statistical analysis plans and reports.
• Required: Strong proficiency in at least one of R and Python, with experience of writing reproducible and scalable code that abides to FAIR principles.
• Required: Excellent collaboration and partnership skills to work effectively with internal stakeholders across functions.
• Required: Demonstrated experience of effectively communicating complex scientific concepts to diverse audiences.
• Required: Demonstrated ability to work effectively both independently and in multidisciplinary teams to meet project timelines.
• Preferred: Extensive experience in genetics and preferably conducting analyses that integrate genetics with other omics data to generate novel translational insights.
• Preferred: Familiarity with the common statistical approaches used to analyse clinical trials
• Preferred: Experience of project management is desirable to enable oversight of pharmacogenetic studies from registration to archiving
• Preferred: Familiarity with the stages of drug discovery and development

Skills

• Statistical genetics expertise
• Omics data integration (e.g., proteomics) with genetics
• Data analysis planning and report writing
• Proficiency in R and/or Python with reproducible, scalable code
• Strong collaboration and cross-functional teamwork
• Ability to communicate complex scientific concepts to diverse audiences
• Independent work style and ability to meet project timelines in multidisciplinary teams