Senior Translational Data Scientist – Genomics & Multi-Omics

GlaxoSmithKline; Stevenage; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

GlaxoSmithKline seeks a Principal Scientist in Translational Data Sciences to lead analyses turning human genetics and multi-omic data into drug discovery insights. The role collaborates with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams.

Hybrid UK-based with Stevenage/ Cambridge timing plans. You will design reproducible analyses, integrate multi-omics with clinical data, and mentor junior colleagues while shaping study design and data

Qualifications

• PhD in data science, computer science, computational biology, bioinformatics, or closely related discipline.
• Strong hands-on experience analysing large-scale genetic and multi-omic datasets.
• Proficient programming skills in Python and experience with reproducible workflows and version control.

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.

Skills

Genetic analysis

Genomic analysis

Machine learning

Data analysis

Data engineering

Data science

Drug development

Drug discovery process

Drug target identification

Datasets

Python

Software engineering

Education

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

Tools

Python

Cloud computing

Distributed computing

Version control

Job description

GlaxoSmithKline seeks a Principal Scientist in Translational Data Sciences to lead analyses turning human genetics and multi-omic data into drug discovery insights. The role collaborates with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams.

Hybrid UK-based with Stevenage/ Cambridge timing plans. You will design reproducible analyses, integrate multi-omics with clinical data, and mentor junior colleagues while shaping study design and data