Key skills
PythonAIMLAnalytics
About this role
Role Overview
- Design and implement maintainable analytics and ML pipelines for genomics and multi-omics data
- Implement state-of-the-art tools for analysing, interpreting, and visualizing genetic and genomic data
- Translate scientific and domain requirements into reliable, testable software systems
- Own workflows from prototype through to usable, shareable capability
- Apply machine-learning methods to answer biological questions
- Contribute engineering best practices within a scientific environment
- Act as a technical bridge between genomics scientists and AI/ML or platform teams
Requirements
- Strong programming skills (Python required)
- Demonstrated experience writing maintainable, production-quality code
- Knowledge of genetic, genomic, epigenomic, or experimental/functional genomic data
- Hands-on experience building, running, and maintaining data or analytics pipelines using a workflow orchestration framework
- Ability to work independently and take ownership of deliverables
Tech Stack
- Python
Benefits
- Competitive salary
- Annual bonus based on company performance
- Healthcare and wellbeing programmes
- Pension plan membership
- Shares and savings programme
- Hybrid working model