Senior Machine Learning Scientist - Cellular Modelling

Relation
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Problem-solving"]

Senior ML Scientist role focusing on designing and implementing machine learning models for single-cell and multiomic biology data. You will bridge ML methodology with biological applications, shape the research roadmap, collaborate with wet-lab teams, and drive evaluation to ensure biologically coherent structures while staying at the cutting edge of single-cell ML.

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FursaFursa
Relation
Relation
4 months ago

Senior Machine Learning Scientist - Cellular Modelling

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Senior ML Scientist role focusing on designing and implementing machine learning models for single-cell and multiomic biology data. You will bridge ML methodology with biological applications, shape the research roadmap, collaborate with wet-lab teams, and drive evaluation to ensure biologically coherent structures while staying at the cutting edge of single-cell ML.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement ML models that operate on single-cell and multiomic data, with careful attention to the biological structure of these datasets.
  • •Develop representation learning, probabilistic, or structured prediction approaches for modelling cellular state and its response to perturbation.
  • •Contribute to shaping the team's research roadmap on cellular modelling.
  • •Work closely with experimental teams to translate biological questions into well-posed modelling problems, and to interpret model outputs in biologically meaningful terms.
  • •Contribute to rigorous model evaluation, going beyond standard reconstruction metrics to assess whether models capture biologically coherent structure.

Key Requirements

  • •PhD in machine learning, computational biology, statistics, or a related quantitative field.
Experience:Single-cellMultiomicsBiological dataPerturbational datasets
Education:PhD / Doctorate in Machine Learning, Computational Biology
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonPyTorchJAXMachine learningSingle-cellMultiomics

Company Brief

Relation
Relation (Relation Therapeutics) is a UK-based, technology-enabled biopharmaceutical company that combines single-cell multi-omics, patient-derived tissue, functional assays and machine learning to discover and develop novel therapeutics across immunology, metabolic and bone diseases.
Industry: Biotech
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: USD 100M to 250M
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2019
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Glassdoor: 3.8
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