Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics
GSK
Summary
We are seeking an innovative scientist to join the Genomic Technologies team within GSK R&D Translational Sciences. The group integrates deep expertise in computational and statistical methods to enable best-in-class analytical insight and interpretation of genetics and genomics data, guiding GSK's drug discovery and development portfolio and pipeline decisions.
Job description
Project Focus Areas
- 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.
Requirements
- 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.
- 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).
Benefits
- Annual bonus
- Share based long term incentive program
- Health care insurance
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver leave
- Paid parental leave
- Paid medical leave
Company overview
GSK plc (formerly GlaxoSmithKline) is a British multinational pharmaceutical and biotechnology company headquartered in London, England. Founded in 2000 through the merger of Glaxo Wellcome and SmithKline Beecham, GSK has grown to become one of the world's leading healthcare companies with operations in over 150 countries. The company specializes in researching, developing, and manufacturing prescription medicines, vaccines, and consumer healthcare products. GSK's therapeutic areas include respiratory diseases, HIV/AIDS, oncology, immunology, and infectious diseases. The company is particularly renowned for its vaccine portfolio and has been at the forefront of developing treatments for major global health challenges. With approximately 70,000 employees worldwide, GSK maintains a strong commitment to scientific innovation and has a significant presence in key markets including the United States, Europe, and emerging economies. The company's mission is to unite science, technology, and talent to get ahead of disease together, aiming to positively impact the health of 2.5 billion people by the end of the decade.