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About the Role
Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. The primary purpose of the role is to develop and integrate support for processing, quality control and analysis of new types of data into our production and research software tools. You'll join a team of experts in human genetics, data science and software engineering, building the platform at the heart of our Life Sciences work.
Responsibilities
- Identify innovative uses of new types of data for integration into our data and analytics platform.
- Implement production quality code for processing, transforming and quality control of new data types for integration into our 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 arising from our work.
- Keep your knowledge current on innovation and good practice in genomics, functional genomics and statistical genetics.
- Lead projects that integrate multiple functional genomics and genetic data sources, coordinating with cross-disciplinary teams to deliver value (at Senior level).
Requirements
- Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions.
- Skilled at analysing 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 an appreciation of good software development practice.
- Comfortable using LLM programming assistants appropriately within a research analysis environment.
- Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems.
- Experience working on a collaborative codebase 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.
Skills
- Data Science
- Statistics
- Computational Analysis
- Human Genetics
- Genomics
- Functional Genomics
- Clinical Genomics
- Data Processing
- Quality Control
- Statistical Methods
- Machine Learning
- Python
- R
- Software Engineering Practices
Location
- Oxford
- London
Work Type
- Hybrid
Experience Level
- Data Scientist (IC2)
- Senior Data Scientist (IC3)
Education Level
- PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields.
Benefits
- Competitive Salary
- Clear Career Path
- Continuous Learning
- 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
- Market-leading pension scheme
- Comprehensive private health insurance for you and your family with NO excess
- Critical illness cover
- Life assurance
- Enhanced paid family leave
- 'Bank Your Bank Holiday' program
- Cycle-to-Work scheme
About the Company
- Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare.
- We are united by a single vision to help people live longer healthier lives, using the power of genomics.
- Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.
Equal Opportunity
- We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.