Data Scientist, Antibody Design

About the Company

Relation is a sector-defining TechBio company developing transformational medicines. We leverage single-cell multi-omics, functional assays, and machine learning to discover therapies for devastating diseases, integrating state-of-the-art wet and dry labs in London.

Responsibilities

• Support computational antibody discovery and drug-ability efforts across research programmes
• Evaluate and interpret computationally generated antibody candidates with internal and external teams
• Contribute computational and structural biology expertise to multidisciplinary project teams
• Extract insights from sequence, structural, and modelling data to inform discovery decisions
• Collaborate with machine learning and experimental scientists to support research activities
• Develop and refine internal computational discovery strategies and workflows

Requirements

• PhD in computational biology, structural bioinformatics, computational structural biology, or related field (or Master's with equivalent industry experience)
• 0–2 years of experience in biotech, pharma, or a postdoctoral environment
• Experience with computational approaches for antibody design and development
• Proficiency in antibody sequence and repertoire analysis
• Experience in structural modelling of antibodies and antibody-antigen complexes
• Expertise in computational protein engineering and affinity optimisation
• Knowledge of machine learning and generative modelling for antibody design
• Experience with developability and biophysical risk assessment
• Proficiency in Python
• Understanding of the drug discovery process

Preferred Qualifications

• Exposure to real-world drug discovery projects
• Experience with additional therapeutic modalities such as small molecules, nucleic acids, or degraders
• Further exposure to machine learning