Associate Director, Statistical Pharmacogenetics at GSK, conducting analyses on clinical trial data. Collaborating across teams to deliver pharmacogenetic insights in the development process.
Responsibilities
Conduct hands-on pharmacogenetic analyses of clinical trials
Design and author statistical analysis plans and pharmacogenetic reports
Collaborate and work closely with colleagues in cross-functional teams to oversee the development and timely delivery of pharmacogenetic analyses and reports
Perform a range of statistical genetic analyses including, but not limited to, 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 the field of pharmacogenetics.
Requirements
PhD or equivalent advanced degree in a relevant scientific discipline (e.g. statistical genetics, genetic epidemiology, biomedical statistics, computational sciences, bioinformatics)
Expertise in statistical genetics
Experience of conducting genetic analyses of clinical trial data
Strong written communication skills to design and write pharmacogenetic statistical analysis plans and reports
Strong proficiency in at least one of R and Python, with experience of writing reproducible and scalable code that abides to FAIR principles
Excellent collaboration and partnership skills to work effectively with internal stakeholders across functions
Demonstrated experience of effectively communicating complex scientific concepts to diverse audiences
Demonstrated ability to work effectively both independently and in multidisciplinary teams to meet project timelines.
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