Antibody Design Scientist

Hlx Life Sciences

Greater London

On-site

GBP 40,000 - 60,000

Full time

14 days+
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Job summary

Hlx Life Sciences is looking for a Computational Biologist to join their team in London. This role involves supporting antibody discovery and structural programmes in a TechBio setting. The ideal candidate will have a PhD in Computational Biology and experience with antibody discovery and protein engineering.

You will be tasked with analysing antibody sequences, evaluating computational models, and collaborating with scientists on innovative therapeutic solutions. This position offers a unique chance to contribute to next-generation antibody therapeutics.

Qualifications

  • PhD (or equivalent experience) in Computational Biology, Structural Bioinformatics, or related field.
  • Experience with antibody discovery, structural modelling, and protein engineering.
  • Understanding of biologics or drug discovery.
  • Experience with machine learning or generative AI for protein/antibody design.
  • Biotech or pharmaceutical industry experience.

Responsibilities

  • Analyse antibody sequence, repertoire, and structural data.
  • Evaluate computationally designed antibody candidates.
  • Support protein engineering and affinity optimisation efforts.
  • Collaborate with machine learning and experimental scientists.

Job description

Computational Biologist – Antibody Design (12-Month FTC)

Location: London, UK

Entry level

We are seeking a Computational Biologist to support antibody discovery and structural programmes within a cutting-edge TechBio environment.

Key Responsibilities
  • Analyse antibody sequence, repertoire, and structural data.
  • Evaluate computationally designed antibody candidates.
  • Support protein engineering and affinity optimisation efforts.
  • Collaborate with machine learning, computational, and experimental scientists.
Requirements
  • PhD (or equivalent experience) in Computational Biology, Structural Bioinformatics, Computational Structural Biology, or a related field.
  • Experience with antibody discovery, structural modelling, and protein engineering.
  • Understanding of biologics or drug discovery.
  • Machine learning or generative AI for protein/antibody design.
  • Biotech or pharmaceutical industry experience.

This is an excellent opportunity to contribute to next-generation antibody therapeutics within a highly collaborative and innovative research team.

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