(Senior) Computational Genomics Scientist, Algorithms & AI/ML - Pathogen Programme

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at eit.org.

Welcome to the Pathogen Program:

Within this ecosystem, the Pathogen Program exemplifies EIT’s dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. The database will comprise >400,000 paired high-quality long read sequences with comprehensive antimicrobial susceptibility profiles. Enabled by Oracle Inc.’s cloud-computing scale and security, the Pathogen Program is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide.

Your Role:

As a(Senior) Scientist , you will design,develop, andevaluatenovel computationalmethodsfortranslatingmetagenomic sequencing datainto actionable resultsin a clinical or public health context.

Youwilldevelopalgorithmsand AI/ML methodsthatareaccurateand robust enough tobeintegrated into ourinfectious disease diagnosticproduct.You Will report to the Lead Scientist in Computational Genomics, and you will work closely withbioinformaticians,data scientists,microbiologists,andsoftware engineers to deliver clinically relevant innovation in the microbial genomics space.

Key Responsibilities:

• Design, develop,and evaluate novel computationalalgorithmsin areas such astaxonomic classification and antimicrobial resistance
• DevelopML/AI techniques toaddressreal-worldproblems in the pathogen genomics space, incollaborationwith scientists across EIT
• Validate and benchmarkmethods using public and internal datasets
• Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows
• Communicate technicalwork clearly to interdisciplinary teams

Requirements

Requirements

This is a methods development role. Strong candidates will have deepexpertisein either bioinformatics algorithm development or ML/AI in a genomics context. Depth in both areas is a plus.

Experience with microbial genomics and metagenomics is preferred but notrequired. We actively welcome applicants with genomics experience inothercontextswho are interestedin applyingtheirmethodsdevelopmentexpertisein thepathogens space.

For Senior :Candidates will havea track recordofindependently executed research projects, typicallywith three or more years of experience in industry or as a postdoc.

Essential Knowledge,Skillsand Experience:

• PhD or equivalent experience ina quantitative field, such ascomputational biology, computer science,mathematics,orphysics
• Track recordof developing computational algorithms or tools inthe genomicsspace.Algorithms:Designed and released a tool in a relevant area, such assequence search/storage, genome assembly/annotation, pangenome graphs,orphylogenetics.AI/ML:Ownership of model training and evaluation at scale, with a deep understanding of the underlying methods and architectures.
• Strong command of underlying fundamentaldata structures, algorithms, and statistical methods(e.g.De Bruijn graphs, embeddings, Bayesian methods)
• Solidprogrammingskills(e.g.Python;C, C++, or Rustis a plus) and software development best practices (version control, CI/CD)

Desirable Knowledge,Skillsand Experience:

• Experience in microbial genomics
• Experience with long-read sequencing data (ONT)
• Experience with cloud computing, workflow management, and ML ops
• For senior:Experience mentoring or line-managing scientists

Benefits

Our Benefits:

• 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

Working Together – What It Involves:

• You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis.
• You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
• We have a hybrid working model, 3 days in the office & 2 days from home

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