Computational Biologist

Nexia
Hertford
1 week ago
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Computational Biologist – Immuno-Oncology

Overview:

This is a unique opportunity for a driven computational biologist to shape the future of antigen discovery in a cutting-edge biotech environment. You'll play a key role in the development of unsupervised machine learning models using transcriptomic datasets to support target identification and product development.


Key Responsibilities:

  • Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics
  • Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction
  • Support internal and external teams with in-house tools
  • Contribute to antigen discovery pipelines and help define computational strategy
  • Help grow and mentor the computational biology function as the team expands
  • Stay current with emerging methods in computational immunology, machine learning, and applied bioinformatics


Ideal Background:

  • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field
  • Strong experience with multi-omics data integration, ideally within immunology or oncology
  • Hands-on expertise in Python and/or R, and familiarity with common bioinformatics workflows
  • Track record of developing ML-based models, in an unsupervised context
  • Excellent problem-solving, communication and collaboration skills
  • Experience in a biotech or translational research setting is highly desirable

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