Senior Genomics AI/ML Scientist—Pathogen Analytics (Hybrid)

Ellison Institute of Technology Oxford; 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

The Ellison Institute of Technology (EIT) in Oxford invites applications for a (Senior) Scientist to design, develop, and evaluate computational methods translating metagenomic data into actionable results in clinical or public health contexts.

You will build algorithms and AI/ML solutions for infectious disease diagnostics, collaborate with bioinformaticians, data scientists, and software engineers, and contribute to scalable workflows and robust validation.

Qualifications

• PhD or equivalent in a quantitative field such as computational biology, computer science, mathematics or physics.
• Track record of developing computational algorithms or tools in the genomics space (e.g., sequence search/storage, genome assembly/annotation, pangenome graphs, or phylogenetics).
• AI/ML: ownership of model training and evaluation at scale with understanding of architectures.
• Strong programming skills (Python; C/C++ or Rust a plus) and software development best practices.
• Experience in microbial genomics.
• Experience with long-read sequencing data (ONT).
• Experience with cloud computing, workflow management, and ML ops.
• For senior: mentoring or line-managing scientists.

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 the pathogen genomics space, 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, and modular workflows
• Communicate technical work clearly to interdisciplinary teams

Skills

Genomics algorithm development

ML/AI in genomics

Python

C/C++

Bioinformatics

Education

PhD in computational biology / computer science / mathematics / physics

Tools

CI/CD practices

Job description

The Ellison Institute of Technology (EIT) in Oxford invites applications for a (Senior) Scientist to design, develop, and evaluate computational methods translating metagenomic data into actionable results in clinical or public health contexts.

You will build algorithms and AI/ML solutions for infectious disease diagnostics, collaborate with bioinformaticians, data scientists, and software engineers, and contribute to scalable workflows and robust validation.