Genomics Foundation Models Architect — Equity, Hybrid

Cubiq Recruitment; Slough; Hybrid; GBP 117,000 - 143,000; Full time

Job summary

Senior Bioinformatics Scientist (Genomic Foundation Models) in London, hybrid role offering up to £130,000 plus equity. The position focuses on shaping data strategy for genomic and protein foundation models and translating biological questions into model objectives.

You will collaborate with ML engineers and biologists to curate datasets, train and fine-tune models, and push forward real-world biological applications. This is a senior, high-impact role within a London-based BioAI environment.

Qualifications

• Built novel deep learning architectures for genomics or protein modelling.
• Hands-on experience with Transformer-based or foundation model architectures in a biological context.
• Understanding regulatory genomics and gene regulation for modelling decisions.
• Experience curating or evaluating training data for large-scale biological models.
• Deep learning must be a core competency, not a secondary skill.

Responsibilities

• Shape the data strategy behind genomic and protein models and decide data needs.
• Curate and evaluate training datasets and fine-tune models for biological applications.
• Collaborate with ML engineers and biologists to translate questions into model objectives.

Skills

Deep learning

Genomics

Protein modelling

Transformer models

Data curation

Job description

Senior Bioinformatics Scientist (Genomic Foundation Models) in London, hybrid role offering up to £130,000 plus equity. The position focuses on shaping data strategy for genomic and protein foundation models and translating biological questions into model objectives.

You will collaborate with ML engineers and biologists to curate datasets, train and fine-tune models, and push forward real-world biological applications. This is a senior, high-impact role within a London-based BioAI environment.