Senior ML Scientist: Genomics & Target Discovery

Quotient Therapeutics; Cambridge; On-site; GBP 70,000 - 95,000; Full time

Job summary

Quotient Therapeutics seeks a Machine Learning Scientist to build AI systems that turn complex biology data into actionable insights. You will work at the intersection of ML, genomics, causal biology, and target discovery, delivering models and AI tools to accelerate discovery and decisions.

This is a hands-on role emphasizing clean, reliable code, modern AI tooling, and collaboration with biology, engineering, and discovery teams to shape therapeutic strategies.

Qualifications

• PhD, Master’s degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field.

Responsibilities

• Build ML models for genomic, single-cell, perturbation, and phenotype data.
• Develop agentic AI workflows to help scientists analyze data and test hypotheses.
• Train and fine tune foundation models, language models, and representation learning methods for target discovery.
• Model relationships between genotype, cell state, perturbation response, causal biology, and disease.
• Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams.
• Communicate results clearly, including model assumptions, limitations, and next steps.

Skills

Python programming

Deep Learning

ML system design

AI coding tools / LLM workflows

Education

PhD or MSc in ML/CS/Computational Biology or related

Tools

AI coding tools

LLM-based workflows

Perturb-seq analysis tools

Job description

Quotient Therapeutics seeks a Machine Learning Scientist to build AI systems that turn complex biology data into actionable insights. You will work at the intersection of ML, genomics, causal biology, and target discovery, delivering models and AI tools to accelerate discovery and decisions.

This is a hands-on role emphasizing clean, reliable code, modern AI tooling, and collaboration with biology, engineering, and discovery teams to shape therapeutic strategies.