relationrx - Data Scientist, Antibody Design (12-month FTC)

London, United Kingdom2mo ago

In Office Intern EMEA Pharmaceuticals Biotechnology Digital Designer Game Designer Python CSS Risk Assessment

Requirements

• Exposure to real-world drug discovery projects • Experience with additional therapeutic modalities such as small molecules, nucleic acids, or degraders • Exposure to machine learning. • PERSONALLY, YOU: • Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. • Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. • Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. • Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. • Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. • WORKING STYLE & CULTURE AT RELATION • At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! • RECRUITMENT AGENCIES • Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. • Relation is a committed equal opportunities employer.

Responsibilities

• Support computational antibody discovery and drug-ability efforts across research programmes. • Work with internal and external teams to evaluate and interpret computationally generated antibody candidates. • Contribute computational and structural biology expertise to multidisciplinary project teams. • Help extract insights from sequence, structural, and modelling data to inform discovery decisions. • Collaborate with machine learning and experimental scientists to support ongoing research activities. • Contribute to the development and refinement of internal computational discovery strategies and workflows. • A PhD in computational biology, structural bioinformatics, computational structural biology, or a related field; or a Master’s degree with equivalent industry experience. • 0–2 years of experience in biotech, pharma, or a relevant postdoctoral environment. • Experience with computational approaches for antibody design and development. • Antibody sequence and repertoire analysis. • Structural modelling of antibodies and antibody-antigen complexes. • Computational protein engineering and affinity optimisation. • Machine learning and generative modelling for antibody design. • Developability and biophysical risk assessment. • Knowledge of Python as a programming language. • Understanding of the drug discovery process.