Translational Data Science Lead: Genetics & Omics

Biopharma Careers; Stevenage, Cambridge; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

GSK in the United Kingdom is seeking a Principal Scientist in Translational Data Sciences to lead analyses that translate human genetics and multi-omic data into actionable drug-discovery decisions. You will work with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams to drive impact and career growth.

The role emphasizes reproducible methods, mentorship, and collaboration across functions, with a hybrid on-site/remote work arrangement and relocation as

Qualifications

• PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.

Responsibilities

• Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.
• Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.
• Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.
• Translate analytic results into clear recommendations for project teams and leaders.
• Collaborate across functions and with external partners to shape study design, data generation and interpretation.
• Mentor and support junior colleagues to share methods, standards and practical best practice.

Skills

Applied Statistics

Data Analysis

Data Engineering

Data Science

Datasets

Drug Development

Drug Discovery Process

Drug Target Identification

Genetic Analysis

Genomic Analysis

Machine Learning

Software Engineering

Education

PhD in data science, computer science, computational biology, bioinformatics, or closely related discipline

Undergraduate degree in Physical sciences or Biological sciences or Medical degree

Tools

Cloud platforms

Distributed computing

Large-scale data processing tools

Job description

GSK in the United Kingdom is seeking a Principal Scientist in Translational Data Sciences to lead analyses that translate human genetics and multi-omic data into actionable drug-discovery decisions. You will work with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams to drive impact and career growth.

The role emphasizes reproducible methods, mentorship, and collaboration across functions, with a hybrid on-site/remote work arrangement and relocation as