Senior Computational Genomics Scientist - Pathogen AI/ML

Ellison Institute of Technology; Oxford; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Travel allowance

Annual Bonus

Enhanced holiday pay

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Therapy Services

Perk Box

Electric Car Scheme

Job summary

Ellison Institute of Technology (EIT) invites applications for a (Senior) Scientist role focused on translating pathogen genomics into actionable diagnostics. You will design and implement computational methods for metagenomics, sequencing data interpretation, and clinical/public health impact, reporting to the Lead Scientist in Computational Genomics.

Collaboration with bioinformaticians, data scientists, microbiologists, and software engineers is required.

Qualifications

• PhD or equivalent in computational biology, computer science, mathematics, or physics.
• Proven track record of developing computational algorithms or tools in genomics.
• Strong programming skills; Python and ideally C/C++ or Rust.
• Experience with AI/ML in a genomics context is a plus.

Responsibilities

• Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance.
• Develop ML/AI techniques to address real-world problems in pathogen genomics in collaboration with scientists across EIT.
• Validate and benchmark methods using public and internal datasets.
• Work with bioinformaticians and software engineers to implement methods in scalable, reproducible workflows.
• Communicate technical work clearly to interdisciplinary teams.

Skills

PhD or equivalent

Computational algorithms

AI/ML in genomics

Python programming

C/C++/Rust

Education

PhD or equivalent

Tools

Git

CI/CD

Job description

Ellison Institute of Technology (EIT) invites applications for a (Senior) Scientist role focused on translating pathogen genomics into actionable diagnostics. You will design and implement computational methods for metagenomics, sequencing data interpretation, and clinical/public health impact, reporting to the Lead Scientist in Computational Genomics.

Collaboration with bioinformaticians, data scientists, microbiologists, and software engineers is required.