Principal Scientist, Genomic Technologies

GSK

5d•Hybrid

About The Position

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. 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. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK Principal Scientist, Genomic Technologies 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. In this role you will: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

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.