Scientific Investigator, Genomic Technologies (m/f/d)
Heidelberg
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherThis position may be based at a GSK R&D site in Germany (Heidelberg), UK (Stevenage), or in the USA (Cambridge Tech Square, MA; or Upper Providence, PA).
We are seeking innovative scientists to join our team as Scientific Investigators in Genomic Technologies. Within the Human Genetics and Genomics (HGG) department at GSK, the Genomic Technologies group 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 drug discovery and development portfolio and pipeline decisions.
Successful candidates will detail in their applications how their personal qualifications, skills and experience make them ideally suited to the specific responsibilities and requirements of the role. They will join existing teams within Genomic Technologies and 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 and GWAS/xQTL summary statistics, and predictive modelling approaches to integrate genetic and ‘omic data.
- Inference of causal networks and disease-relevant mechanisms through analysis and integration of cellular, transcriptomic and multi-omic data from genome-scale gene editing perturbation experiments.
- 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.
Responsibilities:
- Generating large-scale analysis outputs, and/or implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.
- Evaluating, improving, testing, and developing production implementations of best-in-class methods for analysis of genetics and genomics data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams.
- 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
Required Qualifications & Skills:
- Advanced degree (PhD or equivalent) in a relevant scientific discipline.
- Excellent programming skills in R or python, and knowledge 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.
- Experience with genetic, genomic, epigenomic, or experimental/functional genomic data, and with state-of-the-art methods for data analysis and interpretation.
- Strong communication and team-working skills.
Preferred Skills & Experience:
- 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).
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Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Biostatistics Data analysis Docker Drug discovery Machine Learning Model inference PhD PySpark Python R R&D Research SQL Statistics Testing
Perks/benefits: Transparency
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