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Altos Labs Logo Altos Labs · Research and Development

Senior / Principal Machine Learning Scientist

United Kingdom, Cambridge 136000.00 - 261050.00 GBP / Year · Job Posted December 05, 2025
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Job Description

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.

Job Responsibility

  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers

Requirements

  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Nice to have

  • Experience in cell health and rejuvenation related research area
  • Experience in the application of machine learning methods to biological data
  • Experience in computational approaches to drug discovery
  • Experience with software development methodologies and open-source software
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