Senior Data Scientist (Imaging)

The role

You will build generative and predictive models of cellular behaviour with a focus on high-content imaging. You will curate imaging datasets, design evaluations, and partner with wet lab teams to interpret model behaviour.

What you will do

• 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 and identify failure modes.
• Partner with wet lab assay teams from plate design through to data delivery.
• Contribute to multi-modal evaluation by linking 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.

Required qualifications

• 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.
• Working knowledge of deep learning approaches to imaging.
• Experience designing or contributing to evaluation frameworks for ML models.
• 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.

Nice to have

• Familiarity with classical bioimage tooling (CellProfiler, scikit-image, ImageJ / Fiji) for QC reference
• Large public cell painting datasets
• Publication record in relevant venues

About the company

Relation is a TechBio company developing transformational medicines using single-cell multi-omics, functional assays, and machine learning. They operate with state-of-the-art wet and dry labs in London.