Senior Genomics Scientist: AI/ML for Pathogen Genomics

Ellison Institute, LLC; Oxford; Hybrid; GBP 70,000 - 90,000; 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) in Oxford invites a Senior Scientist to design, develop, and evaluate novel computational methods translating metagenomic sequencing data into actionable results for clinical or public health use.

You will build ML/AI techniques and collaborate with bioinformaticians, data scientists, microbiologists and software engineers to deliver clinically relevant innovation in microbial genomics; reporting to the Lead Scientist in Computational Genomics.

Qualifications

• PhD or equivalent in a quantitative field related to computational biology, CS, math or physics.
• Experience developing computational algorithms or tools in genomics.
• Strong programming skills in Python; C/C++/Rust 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 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

Bioinformatics algorithms

ML/AI in genomics

Python programming

Software development basics

C/C++/Rust knowledge

Education

PhD or equivalent in computational biology/CS/Math/Physics

Tools

Cloud computing

Workflow management

CI/CD

Job description

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

You will build ML/AI techniques and collaborate with bioinformaticians, data scientists, microbiologists and software engineers to deliver clinically relevant innovation in microbial genomics; reporting to the Lead Scientist in Computational Genomics.