The role involves leveraging longitudinal real-world data linked to genetics to create novel phenotypes describing disease severity and progression
Job Summary
The role involves leveraging longitudinal real-world data linked to genetics to create novel phenotypes describing disease severity and progression.
Candidates must lead the design and delivery of custom analyses using advanced statistical approaches to support business development and portfolio decisions.
GSK fosters a culture ambitious for patients, accountable for impact, and committed to uniting science, technology, and talent to get ahead of disease.
Matching Summary
The role involves leveraging longitudinal real-world data linked to genetics to create novel phenotypes describing disease severity and progression.
Skills & Requirements
Must-have
PhD in relevant scientific discipline
5+ years experience with real-world data
3+ years R programming expertise
Advanced epidemiology and causal inference
Leadership of multidisciplinary teams
Nice-to-have
Experience integrating proteomic data
Strong stakeholder communication skills
AI/ML methodological innovation
Biobank-scale cohort experience
Excellent presentation and visualization skills
Key Requirements
PhD or equivalent degree required
Minimum 5 years in RWD and observational data
Minimum 3 years experience with complex EHR data
Proven track record in causal inference applications