Principal Scientist, Translational Omics
About The Position
We are seeking a motivated computational biologist to focus on analysis and integration of diverse and complex multi-omic data to deliver actionable insights that will help bring the right medicines to the right patients. Your work will have application across our pipeline, from multi-omic characterisation of disease endotypes to biomarker discovery and patient stratification, with a focus on hepatology, renal, metabolic and cardiovascular disease. You will lead and contribute to the analysis and integration of cutting edge high dimensional multi-omic data, including single cell and spatial transcriptomics, proteomics, metabolomics and lipidomics to derive insights that will impact GSK pipeline decisions. The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and external collaborators to advance drug discovery and clinical development. Additionally, you will be encouraged and supported to continue to build your scientific profile through presentations, development programmes and peer-reviewed publications.
Requirements
- PhD or master's degree with 10+ years' experience in computational biology, bioinformatics, computational sciences or machine learning.
- Experience analyzing multi-omic data types, including single-cell and spatial omics datasets.
- Experience using tools and frameworks for multi omic data analysis
- Experience programming in R and/or Python.
- Experience applying analytical, statistical, and/or machine learning methods to large-scale biological datasets.
Nice To Haves
- Ability to derive and apply novel insights.
- Ability to critically evaluate cutting-edge tools and frameworks.
- Track record of writing reproducible and scalable code.
- Strong interpersonal and communication skills.
- Ability to thrive in a matrix environment.
- Demonstrated scientific capability as evidenced by publications, research reports, and external presentations.
- Demonstrated delivery of high quality and state-of-the-art computational biology solutions and analyses in support of drug discovery projects.
- Demonstrated experience in the analysis of multi-omic data linked to clinical phenotypes or measures for disease endotyping, biomarker discovery, mechanism and efficacy analysis and/or patient stratification.
- Demonstrated experience in the analysis of multi-omic data from clinical studies and working in a regulatory environment.
- Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers.
- Experience in application of agentic tooling for computational delivery.
Responsibilities
- Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data.
- Work within cross-functional project teams with GSK scientists and external collaborators, with a focus on impacting target, biomarker and clinical study decisions across hepatology, renal, cardiovascular disease.
- Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams.
- Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills.
Benefits
- annual bonus
- eligibility to participate in our share based long term incentive program
- comprehensive benefits program
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What This Job Offers
Job Type
Full-time
Career Level
Principal
