Senior Data Scientist (Imaging)

Relation
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Stakeholder management","Ownership","Resilience"]

Build generative and predictive models of cellular behavior focused on high-content imaging. Own the imaging data science pipeline: curate training-ready datasets, design evaluations that separate biological signal from technical artefacts, interpret foundation-model behavior, and work with wet-lab teams from plate design through data delivery. Partner on multi-modal evaluation linking imaging readouts to single-cell and perturbation data, while monitoring advances in biological imaging models to continuously improve research iteration.

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FursaFursa
Relation
Relation
15 hours ago

Senior Data Scientist (Imaging)

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Last checked: 6 hours agoStatus: Live

Job Summary

Build generative and predictive models of cellular behavior focused on high-content imaging. Own the imaging data science pipeline: curate training-ready datasets, design evaluations that separate biological signal from technical artefacts, interpret foundation-model behavior, and work with wet-lab teams from plate design through data delivery. Partner on multi-modal evaluation linking imaging readouts to single-cell and perturbation data, while monitoring advances in biological imaging models to continuously improve research iteration.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Curate training-ready imaging datasets across cell painting and brightfield assays.
  • •Drive evaluation design for imaging modalities in close partnership with ML and data scientists.
  • •Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modeling decisions.
  • •Partner with wet lab assay teams from plate design through data delivery to keep imaging assays analytically tractable.
  • •Contribute to multi-modal evaluation by linking imaging readouts to single-cell and perturbation data.

Key Requirements

  • •PhD (or equivalent industry experience) in computational biology, bioinformatics, computer vision, biomedical engineering, or a closely related discipline.
  • •Strong fluency with high-content imaging modalities, including cell painting and brightfield, with judgement about biological relevance and common artefacts.
  • •Working knowledge of deep learning approaches for imaging to reason about model behavior and design appropriate evaluation.
  • •Experience designing or contributing to ML model evaluation frameworks, ideally for imaging or comparable scientific image data.
  • •Strong Python data-science stack, including numpy, pandas (or polars), scikit-learn, and PyTorch.
Experience:Computational biologyBioinformaticsComputer visionBiomedical engineeringHigh-content imaging
Education:Master's
Skills:CommunicationCollaborationStakeholder managementOwnershipResilience
Tech Stack:PythonNumpyPandasPolarsScikit-learnPyTorchCellProfilerScikit-imageImageJFiji

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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