Senior Data Scientist — Single-Cell Genomics & ML

Relation Therapeutics; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Relation Therapeutics in London is seeking a Senior Data Scientist to build the next generation of generative and predictive models of cellular behaviour, focusing on single-cell multi-omics. Your work will be central to understanding cellular decision-making and enabling novel therapeutic strategies grounded in generative models.

You’ll join a team with access to cutting-edge multiomic datasets, advanced computational infrastructure, and interdisciplinary expertise, contributing to publications

Qualifications

• A PhD (or equivalent) in computational biology, bioinformatics, or related field.
• Deep hands-on experience processing and analysing large-scale single-cell multiomics data, ideally including paired RNA + ATAC.
• Proficiency with single-cell analysis toolkits (scverse) and workflow frameworks (Nextflow, Snakemake).
• Experience with arrayed CRISPR perturbation screen data and QC, including MOI estimation and single-cell effect quantification.
• Proficiency in Python and familiarity with HPC environments.
• Strong communication skills to bridge experimental and ML teams across a fast-moving programme.
• Bonus Experience: integrating multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics).
• Experience with foundation model development or perturbation prediction models.

Responsibilities

• Process and QC paired single-cell RNA-seq and scATAC-seq at scale across perturbations and contexts.
• Develop and maintain Nextflow pipelines with combinatorial indexing chemistries and methods like STARsolo, Alevin-fry, Chromap, and SnapATAC2.
• Integrate scRNA-seq and scATAC-seq with proteomics and imaging to build multimodal datasets.
• Manage data in memory-efficient formats (e.g. Zarr) for GPU-accelerated processing and model training at scale.
• Partner with wet lab scientists from design to interpretation to maximize data value.
• Contribute to evaluation frameworks to test ML models against biology and benchmarks.
• Collaborate with ML modellers to develop model architectures.
• Present findings to internal stakeholders and contribute to publications.

Skills

PhD or equivalent

Single-cell multiomics

Python

Nextflow

Snakemake

scverse

High-performance computing

Communication skills

Education

PhD or equivalent

Tools

Nextflow

Snakemake

Alevin-fry

STARsolo

Chromap

SnapATAC2

Zarr

Python

scverse ecosystem

Job description

Relation Therapeutics in London is seeking a Senior Data Scientist to build the next generation of generative and predictive models of cellular behaviour, focusing on single-cell multi-omics. Your work will be central to understanding cellular decision-making and enabling novel therapeutic strategies grounded in generative models.

You’ll join a team with access to cutting-edge multiomic datasets, advanced computational infrastructure, and interdisciplinary expertise, contributing to publications