Senior Data Scientist (Single Cell)

About the role

Relation is a TechBio company focused on developing transformational medicines by leveraging single-cell multi-omics and machine learning. As a Senior Data Scientist, you will build generative and predictive models of cellular behaviour to understand and control cellular decision-making. You will work in an interdisciplinary team to translate complex biological data into novel therapeutic strategies.

Responsibilities

• Process and QC paired single-cell RNA-seq and scATAC-seq at scale from thousands of perturbations.
• Develop and maintain Nextflow pipelines compatible with custom combinatorial indexing chemistries.
• Integrate scRNA-seq and scATAC-seq with extracellular proteomics and high-content imaging to build multimodal training datasets.
• Manage data in memory-efficient formats for GPU-accelerated processing and model training.
• Partner with wet lab scientists to ensure experiments are analytically tractable and pipelines maximise data value.
• Contribute to the evaluation framework that determines whether ML models capture meaningful biology.
• Collaborate with ML modellers to develop model architectures and present findings to internal stakeholders.

Required skills

• Computational biology
• Bioinformatics
• Single-cell multiomics
• RNA-seq
• scATAC-seq
• Nextflow
• Snakemake
• scverse
• CRISPR perturbation
• Python
• High-performance computing

Nice to have

• Data integration
• Foundation model development
• Perturbation prediction
• Statistical modelling
• Algorithm development

Qualifications

• PhD in computational biology, bioinformatics, or a related quantitative field
• Equivalent industry experience in computational biology, bioinformatics, or a related quantitative field

About the Company

Relation is a sector-defining TechBio company developing transformational medicines with technology at its core. The company leverages single-cell multi-omics, functional assays, and machine learning to drive disease understanding from cause to cure.