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Computational Biologist

Skills Alliance
City of London
6 days ago
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Role Overview

We’re seeking a highly motivated computational biologist to partner with leading R&D teams in life sciences, applying advanced AI models to solve complex biological challenges. You’ll work at the interface of data science, biology, and product development — helping translate large-scale omics data into actionable insights for discovery and development.

In this high-impact, fast-moving role, you’ll prototype with cutting-edge machine learning tools, rapidly moving from concept to insight. You’ll collaborate closely with engineering and product teams to shape and refine innovative solutions that address real-world biological problems.


Key Responsibilities

  • Partner with scientific and technical teams to analyze complex biological datasets (e.g., transcriptomics, single-cell data)
  • Apply and adapt machine learning models to address problems in discovery and development
  • Rapidly prototype and iterate on computational approaches to generate insights
  • Communicate findings clearly across technical and non-technical audiences
  • Contribute to shaping data products and internal tools


Requirements

Essential

  • MSc or PhD in Computational Biology, Bioinformatics, or a related field
  • Strong Python programming skills
  • Experience working with single cell data
  • Familiarity with recent machine learning methods relevant to omics data
  • Understanding of modern AI/ML techniques (e.g., model fine-tuning, representation learning)
  • Strong foundation in computational biology methods
  • Ability to clearly articulate scientific findings to diverse stakeholders
  • Customer- and product-focused mindset


Preferred

  • Prior experience in industry (biotech, pharma, or related sectors)
  • Contributions to open-source bioinformatics or computational biology tools
  • Exposure to advanced model architectures (e.g., Transformers, sequence models, probabilistic models)
  • Experience supporting discovery or development projects

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