(Senior) Computational Genomics Scientist, Algorithms & AI/ML
Oxford, England, United Kingdom
GBP 80K-103K (estimate) Senior-level Full Time
Tasks
- Communicate technical work to interdisciplinary teams
- Design computational algorithms for pathogen genomics
- Develop antimicrobial resistance algorithms
- Develop machine learning methods for pathogen risk management
- Implement scalable reproducible modular workflows
- Integrate methods into diagnostic product pipelines
- Validate and benchmark methods using datasets
Perks/Benefits
- Annual bonus
- Electric car scheme
- Enhanced holiday pay
- Hospital Cash Plan
- Hybrid work
- Income protection
- Life assurance
- Pension
- Private medical insurance
- Therapy Services
- Travel allowance
Skills/Tech-stack
Algorithms | Antimicrobial Resistance | Artificial Intelligence | Bayesian Methods | Bioinformatics | C# | C++ | CI/CD | Cloud Computing | Data Structures | De Bruijn graphs | Embeddings | Genome Sequencing | Genome annotation | Genome assembly | Long-read | Long-read Sequencing | MLOps | Machine Learning | Metagenomics | Microbial Genomics | Model Evaluation | Model Training | Oxford Nanopore | Oxford Nanopore Technologies | Pangenome graphs | Phylogenetics | Python | Rust | Sequence analysis | Statistical Methods | Taxonomic classification | Version control | Whole-genome sequencing | Workflow Management
Education
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