Senior Genomics Scientist: Computational & Metagenomics AI

Ellison Institute of Technology Oxford

Oxford

Hybrid

GBP 70,000 - 110,000

Full time

6 days ago
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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 Oxford seeks a (Senior) Scientist to translate metagenomic sequencing data into actionable clinical insights. You will design and evaluate computational methods, build AI/ML solutions, and work with bioinformaticians, data scientists, microbiologists and software engineers to deliver biomedical innovations.

You will contribute to scalable workflows, rigorous benchmarking, and robust software practices while addressing real-world infectious disease diagnostics

Qualifications

  • PhD or equivalent experience 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; AI/ML ownership at scale.

Responsibilities

  • Design, develop, and evaluate novel computational algorithms for taxonomic classification and antimicrobial resistance.
  • Develop ML/AI techniques to address pathogen genomics challenges in collaboration with scientists across EIT.
  • Validate and benchmark methods using public and internal datasets; implement methods in scalable workflows; communicate results clearly to teams.

Skills

Python programming
Genomics
ML/AI development
Bioinformatics

Education

PhD in computational biology / CS / math / physics

Tools

CI/CD
Python

Job description

Ellison Institute of Technology Oxford seeks a (Senior) Scientist to translate metagenomic sequencing data into actionable clinical insights. You will design and evaluate computational methods, build AI/ML solutions, and work with bioinformaticians, data scientists, microbiologists and software engineers to deliver biomedical innovations.

You will contribute to scalable workflows, rigorous benchmarking, and robust software practices while addressing real-world infectious disease diagnostics

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