Genomics ML Scientist — Target Discovery & AI Workflows

quotient.fi; Cambridge; On-site; GBP 60,000 - 80,000; Full time

Job summary

quotient.fi located in Cambridge is on the lookout for a Machine Learning Scientist to develop AI systems that translate complex biological data into actionable insights. You will work at the intersection of ML, genomics, and target discovery.

The ideal candidate holds a PhD or Master's in a relevant discipline and possesses strong Python coding skills. This is a hands-on role where you will create reliable ML models and workflows that aid scientists in making better decisions based on data.

Qualifications

• PhD, Master’s degree, or equivalent experience in machine learning or related fields.
• Strong Python skills and experience building ML systems.
• Depth in biomedical foundation models or single-cell genomics is preferred.

Responsibilities

• Build ML models for genomic and phenotype data.
• Develop AI workflows to assist scientists in data analysis.
• Train and fine-tune foundation models for discovery.

Skills

Strong Python coding skills

Experience with Deep Learning ML systems

Experience using AI coding tools

Training and applying ML models

Education

PhD or Master's degree in a related field

Tools

AI coding tools

Job description

quotient.fi located in Cambridge is on the lookout for a Machine Learning Scientist to develop AI systems that translate complex biological data into actionable insights. You will work at the intersection of ML, genomics, and target discovery.

The ideal candidate holds a PhD or Master's in a relevant discipline and possesses strong Python coding skills. This is a hands-on role where you will create reliable ML models and workflows that aid scientists in making better decisions based on data.