Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism
Core
Analyze complex clinical trial data, validate drug targets, and identify novel biomarkers to support drug discovery in cardiovascular, renal, and metabolism diseases.
Role type
Senior IC data scientist (bioinformatics/clinical data)
Builds
Data-driven insights for drug discovery and development
Domain
Biopharma, early clinical trials, omics, clinical data
Deliverable
production ML models
Required skills
Bioinformatics, clinical data analysis, machine learning, R, Python, Unix/Linux, statistics, drug target validation, biomarker identification
Preferred skills
Cardiometabolic disease biology, Bayesian statistics, mixed effect models, experimental design, leading statistical analysis projects
Technologies
R, Python, Unix/Linux
Responsibilities
Analyse and interpret large, complex datasets from clinical trials; Validate existing drug targets using data-driven approaches; Identify novel drug targets and biomarkers; Integrate and analyse big data sources including genetics, omics, and EHRs; Collaborate with internal and external partners to access and apply data sources; Translate data-driven insights into findings supporting drug discovery.
Seniority
Senior, hands-on IC
