(Senior or Non Senior) Computational Genomics Scientist - Pathogen
Oxford, England, United Kingdom
GBP 70K-77K (estimate) Senior-level Full Time
Tasks
- Apply machine learning methods to pathogen genomics
- Benchmark computational approaches using public and internal datasets
- Communicate technical concepts to broad audiences
- Develop computational methods for genome binning
- Develop computational methods for genome functional characterization
- Develop computational methods for metagenomic genome assembly
- Implement scalable reproducible modular workflows with software engineers
- Perform genome annotation and pangenome analysis
- Perform phylogenetics and comparative genomics
- Support experimental validation with wet lab teams
- Support sequencing data storage and search
Perks/Benefits
- Childcare benefit
- Electric car scheme
- Enhanced holiday
- Hospital Cash Plan
- Income protection
- Life assurance
- Option to Buy Additional Days
- Pension
- Private medical insurance
- Therapy Services
Skills/Tech-stack
Algorithms | Bayesian Methods | Burrows Wheeler Transform | C plus plus | C# | Cloud Computing | Command Line | Command-line Interface | Comparative Genomics | Continuous Delivery | Continuous Integration/Continuous Delivery | Continuous integration | Data Structures | De Bruijn graphs | Deep learning | Dimensionality Reduction | Embeddings | Genome Binning | Genome annotation | Genome assembly | Hashing | Long-read | Long-read Sequencing | Machine Learning | Metagenomics | Mixed Models | Nextflow | Pangenomics | Phylogenetics | Python | Rust | Shotgun metagenomics | Statistical Methods | Version control | Workflow Management
Education
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