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Genomics is a science-led transatlantic TechBio company combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. The company operates in two areas: supercharging drug discovery through an AI-enabled advanced genetic analytics platform, and helping people understand their personal risk of common chronic diseases through polygenic risk scores.
You will join a team of experts in human genetics, data science, and software engineering, building the platform at the heart of the Life Sciences work. Your primary purpose is to develop and integrate support for processing, quality control, and analysis of new types of data into production and research software tools. How your time splits across data processing workflows, statistical methods, and software engineering will reflect your own balance of scientific and computational strengths, with emphasis on genetics domain expertise and data analysis, including processing and interpreting functional genomics data.
Key responsibilities include:
- Identify innovative uses of new data types for integration into the data and analytics platform (e.g., functional genomics, perturbation screens, molecular profiling, expression atlases, genomic and functional annotations, curated interaction and pathway resources)
- Implement production-quality code for processing, transforming, and quality control of new data types for integration into the larger data model
- Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation, and reproducibility
- Contribute to internal and external presentations and publications
- Keep knowledge current on innovation and good practice in genomics, functional genomics, and statistical genetics
- At Senior level, lead projects that integrate multiple functional genomics and genetic data sources, coordinating with cross-disciplinary teams to deliver value
This role can be hired at IC2 (Data Scientist) or IC3 (Senior Data Scientist) level depending on experience. At IC3, you'll operate with greater autonomy, hold broader scientific scope, bring deeper subject-matter expertise, and lead analyses integrating multiple genomic data sources.
Benefits include 25 days annual leave plus bank holidays, market-leading pension scheme, comprehensive private health insurance with no excess, critical illness and life assurance, enhanced paid family leave, flexible hybrid working, and access to continuous learning programs.
REQUIREMENTS:
Essential:
- Strong knowledge of human genetics and functional or clinical genomics, with ability to apply it to research questions
- Skilled at analyzing and learning from large-scale biological datasets, including statistical and machine learning methods
- Experienced processing and interpreting data from functional genomics, molecular and expression atlases, genomic annotations, and curated pathway and interaction resources, including quality control
- Competent writing code in Python and/or R for data analysis, with appreciation of good software development practice
Desirable:
- Comfortable using LLM programming assistants appropriately within a research analysis environment
- Experienced running tools and workflows in scalable systems (e.g., Linux-based HPC environments or cloud systems)
- Experience working on collaborative codebases using version control and CI/CD
- Experience working in remote, cloud-based environments (e.g., AWS)
- Prior experience working in a team, ideally in an industry setting
- PhD or postgraduate degree in genetics, genomics, computational biology, bioinformatics, or statistics and machine learning applied in these fields
