Senior Data Scientist (Imaging)
relationrx· Data Science/Computational Biology
LondonFull-timePosted 2mo ago
About the role
Senior Data Scientist focusing on imaging data to build generative and predictive models of cellular behaviour, with emphasis on high-content imaging and collaboration with wet-lab teams within Relation.
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 modelling decisions.
- Partner with wet lab assay teams from plate design through to data delivery, ensuring imaging assays remain analytically tractable and yield valuable data.
- Contribute to multi-modal evaluation: link imaging readouts to single-cell and perturbation data.
- Communicate methodology and findings clearly and rigorously across the computational team.
- Track developments in foundation models for biological imaging, and bring relevant advances into our work.
Qualifications
- A 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: knowledge of what good data looks like, recognition of common artefacts, and judgement on biological relevance.
- Working knowledge of deep learning approaches to imaging, sufficient to reason about model behaviour and design appropriate evaluation.
- Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data.
- Strong Python data-science stack (numpy, pandas / polars, scikit-learn, PyTorch).
- Familiarity with terabyte-scale imaging data and standard scientific formats.
- Strong biological grounding and the ability to partner effectively with wet lab scientists.
- Bonus experience: familiarity with classical bioimage tooling (CellProfiler, scikit-image, ImageJ / Fiji) for QC reference; large public cell painting datasets; publication record in relevant venues.
Benefits
- Not specified in the job description
Last updated Aug 12, 2026. Interested? Apply on the company site.
About relationrx
Discovering biology’s relationships, curing disease.
Discovering biology’s relationships, curing disease.
biotechmedicinebiologydiseasegenomicstherapy
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