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Barrington James
Head of Computational BiologyBarrington James • City of London, London, United Kingdom
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Head of Computational Biology

Head of Computational Biology

Barrington James • City of London, London, United Kingdom
30+ days ago
Job type
  • Full-time
Job description

Barrington James is proud to be partnering with an emerging, AI-native drug discovery company. We are looking to appoint a Head of Computational Biology to lead the biological interpretation and application of our client's AI discovery platform.


The company is using AI, large-scale biological data and computational approaches to identify new therapeutic opportunities. The next stage is ensuring the platform is generating biologically meaningful outputs: credible targets, clear disease relevance, testable hypotheses and programmes that can move into experimental validation.


The company needs a senior computational biology leader who can sit between AI, data science, biology and discovery teams, helping turn complex datasets and model outputs into clear drug discovery decisions.


Key responsibilities:

  • Lead computational biology strategy across AI-enabled target discovery and programme prioritisation
  • Work with AI/ML and data science teams to interpret biological signals from large-scale datasets
  • Help identify, validate and prioritise targets, pathways and disease hypotheses
  • Translate platform outputs into clear biological rationale for internal discovery teams
  • Build approaches around multi-omics, genetics, functional genomics, disease biology and patient-derived data
  • Work closely with wet-lab biology, translational science and external partners to design validation strategies
  • Establish decision-making frameworks for which AI-generated hypotheses should be progressed, tested or stopped
  • Represent the computational biology strategy in senior internal, investor and pharma-partner discussions


Ideal background:

  • Senior computational biology, bioinformatics, systems biology or AI-enabled discovery leadership experience
  • Strong experience applying large-scale biological datasets to target discovery or therapeutic hypothesis generation
  • Background working with omics, genetics, functional genomics, single-cell, patient datasets or disease biology platforms
  • Able to work closely with machine learning, data engineering and experimental biology teams
  • Track record turning computational insights into drug discovery programmes or validation strategies


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Head of Computational Biology • City of London, London, United Kingdom

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