AI/ML Research Fellow for Protein Design & Discovery

University of Manchester; Manchester; Hybrid; GBP 42,000 - 65,000; Full time

Benefits offered by this job

Generous employer contribution pension

29 days annual leave + holidays

Ride to work and EV car scheme

Job summary

The University of Manchester invites applications for an outstanding researcher to join the Chica Research Group within the Manchester Institute of Biotechnology. You will develop AI-driven methods for protein engineering and enzyme design, collaborating with experimental and computational teams.

Applicants should hold a PhD in a related quantitative field and have strong ML/Data Science skills. The role supports flexible and hybrid working arrangements in Manchester.

Qualifications

• PhD in a quantitative field (AI/ML, CS, maths, statistics) required or equivalent.
• Strong background in machine learning, data analysis, and computational methods.
• Experience applying AI to biological or chemical problems is advantageous but not required.

Responsibilities

• Develop and apply machine-learning approaches to protein engineering and enzyme design.
• Analyse and model large, complex biological and experimental datasets.
• Design, train, and evaluate predictive ML models and tools.
• Collaborate with experimental and computational researchers to accelerate discovery.

Skills

Machine learning

Artificial intelligence

Data science

Statistics

Education

PhD in a related field

Job description

The University of Manchester invites applications for an outstanding researcher to join the Chica Research Group within the Manchester Institute of Biotechnology. You will develop AI-driven methods for protein engineering and enzyme design, collaborating with experimental and computational teams.

Applicants should hold a PhD in a related quantitative field and have strong ML/Data Science skills. The role supports flexible and hybrid working arrangements in Manchester.