Senior Data Scientist (Single Cell)

The role

You will build generative and predictive models of cellular behaviour focusing on single cell multi-omics. You will process large-scale single-cell data and partner with wet lab scientists to develop model architectures.

What you will do

• Process and QC paired single-cell RNA-seq and scATAC-seq at scale.
• Develop and maintain Nextflow pipelines.
• Integrate scRNA-seq and scATAC-seq with extracellular proteomics and high-content imaging.
• Manage data in memory-efficient formats for GPU-accelerated processing.
• Partner with wet lab scientists from screen and cohort design to interpretation.
• Contribute to the evaluation framework for ML models.
• Collaborate with ML modellers to develop model architectures.
• Present findings and methodologies to internal stakeholders and contribute to publications.

Required qualifications

• PhD (or equivalent industry experience) in computational biology, bioinformatics, or a related quantitative field.
• Deep hands-on experience processing and analysing large-scale single-cell multiomics data.
• Proficiency with single-cell analysis toolkits (e.g. scverse ecosystem).
• Proficiency with workflow management frameworks (Nextflow, Snakemake).
• Experience with arrayed CRISPR perturbation screen data.
• Proficiency in Python.
• Familiarity with high-performance computing environments.
• Strong communication skills.

Nice to have

• Experience integrating multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis.
• Exposure to foundation model development or perturbation prediction models.
• A background in statistical modelling and algorithm development.
• Experience working in interdisciplinary teams.

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.