Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics
Core
Principal Scientist leading statistical genetics analysis of large-scale biobank data to identify causal gene-phenotype links, drug targets, and disease mechanisms for GSK's drug discovery pipeline.
Role type
Principal Scientist (Statistical Genetics / Genomic Technologies)
Builds
Analytical insights and interpretations of genetics/genomics data guiding portfolio decisions
Domain
Biopharmaceuticals / Human Genetics / Genomics
Deliverable
production ML models
Required skills
Statistical genetics methodology, Large-scale biobank data analysis, R or Python programming, Reproducible research practices, Causal inference modeling
Preferred skills
Cloud-based Trusted Research Environments, Machine learning, Distributed/cloud computing (SQL, PySpark, BigQuery, Docker, Nextflow), Multidisciplinary team leadership
Technologies
R, Python, SQL, PySpark, BigQuery, Docker, Nextflow
Responsibilities
Develop and implement best-in-class methods for genetic data analysis, Generate large-scale analysis outputs and visualization tools, Collaborate with translational teams to influence pipeline decisions, Stay informed on recent research in statistical genetics
Seniority
Principal, hands-on IC with strategic influence