Description
We are seeking an innovative Principal Scientist to join our Genomic Technologies team within GSK R&D Translational Sciences.
The successful candidate will work on projects aligned to current areas of focus, including:
- Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data.
- Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers.
- 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.
Responsibilities:
- Evaluating, improving, testing, and developing production implementations of best-in-class methods for analysis of genetic data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams.
- Generating large-scale analysis outputs, and/or implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.
- Collaborating with partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipeline decisions.
- Staying informed about recent research in the field and considering its potential for application within GSK.
- Contributing to a culture of innovation, quality, and willingness to learn and improve.
Qualifications, Skills and Experience:
- Advanced degree (PhD or equivalent) in a relevant scientific discipline.
- Experience working with large scale biobank data, such as UK Biobank and All of Us.
- Excellent programming skills in R or 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 data.
- Strong communication and team-working skills.
Preferred Skills & Experience:
- Deep understanding of statistical genetics methodology.
- Experience working in cloud-based Trusted Research Environments.
- Experience with machine learning and/or advanced statistical methods.
- Experience working in multidisciplinary teams on complex and impactful projects.
- Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).
Salary ranges:
- UK: £74,250 to £123,750 per annum
- USA: $121,275 to $202,125 per annum
- Germany: €74,250 to €123,750 per annum