Computational Biologist — Microbiology & AI

Ellison Institute of Technology Oxford; Oxford; Presencial; GBP 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Enhanced holiday pay

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Therapy Services

Perk Box

Electric Car Scheme

Descripción de la vacante

The Ellison Institute of Technology (EIT) seeks a Computational Biologist to bridge microbiology and AI. You will transform complex biological sources into robust datasets, build bioinformatics solutions, and design evaluations for foundation models.

You will collaborate with AI Scientists and Engineers to ensure models are biologically sound, develop scalable Python pipelines, and contribute to real-world data-driven breakthroughs in health, biology and AI.

Formación

• Extensive experience in genomics and computational biology, incl. genome assembly, alignment and variant analysis.
• Deep Python proficiency for data processing and modelling.
• Ability to design evaluations for foundation models and work with AI researchers.

Responsabilidades

• Structure, curate, and transform large-scale microbiology data for use in machine learning systems
• Define biologically grounded tasks, representations, and evaluation frameworks aligned with real biological signal
• Interrogate datasets, methods, and model outputs to identify bias, leakage, and invalid assumptions
• Apply, adapt, and critically assess state-of-the-art bioinformatics methods in real-world settings
• Build robust, reproducible Python workflows and collaborate closely with research and engineering teams

Conocimientos

Python

Genomics

Computational biology

Genome assembly

Alignment

Variant analysis

Descripción del empleo

The Ellison Institute of Technology (EIT) seeks a Computational Biologist to bridge microbiology and AI. You will transform complex biological sources into robust datasets, build bioinformatics solutions, and design evaluations for foundation models.

You will collaborate with AI Scientists and Engineers to ensure models are biologically sound, develop scalable Python pipelines, and contribute to real-world data-driven breakthroughs in health, biology and AI.