Principal Scientist, Genomic Technologies

GSK

5d • Hybrid

About The Position

We are seeking innovative scientists to join our team as a Principal Scientist. Within GSK R&D Translational Sciences (TSci), the Genomic Technologies team integrates deep and broad expertise in computational and statistical methods and techniques, to enable best-in-class analytical insight and interpretation of genetics and genomics data, impacting GSK R&D portfolio and pipeline decisions.
We value collaborative working, and scientific evaluation of different approaches to improving our capabilities in areas of focus for Genomic Technologies, including:
Discovery of new causal gene-phenotype links, by advancing methodology for analysis of large-scale biobank individual human genetic data, and of GWAS/xQTL summary statistics.
Identification of causal mechanisms, candidate biomarkers, disease subtypes and patient subgroups, by analysing and integrating genetic, multi-‘omic, and phenotypic data from human populations and from genome-scale gene editing perturbation experiments.
Predictive modelling of presence, direction and magnitude of causal gene-phenotype links, using genetic and ‘omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data.

Requirements

• Advanced degree (PhD or equivalent) in a relevant scientific discipline.
• Experience with genetic, genomic, epigenomic, or experimental/functional genomic data, and with state-of-the-art methods for data analysis and interpretation.
• Excellent programming skills in R or/and python, and application of techniques in reproducible research, literate programming, FAIR data principles, or software development.
• Experience of evaluating, improving, testing, and/or developing methods for analysis and interpretation of large-scale genetics or genomics data.
• Strong communication and team-working skills.

Nice To Haves

• Experience with machine learning and/or advanced statistical methods.
• Experience working in multidisciplinary teams on complex and impactful projects.
• Experience with integrating information across multiple genetic, genomic, epigenomic, or experimental/functional genomic data types.
• Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).

Responsibilities

• Generate large-scale analysis outputs, and/or implement state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.
• Evaluate, improve, test, and develop production implementations of best-in-class methods for analysis of genetics and genomics data, in collaboration with scientists in Translational Sciences, Biostatistics, Data Automation and Predictive Sciences, or/and AI/ML teams.
• Collaborate with partners across TSci, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipeline decisions.
• Stay informed about recent research in the field and considering its potential for application within GSK.
• Contribute to a culture of innovation, quality, and willingness to learn and improve.

Benefits

• We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
• We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree