Senior Data Scientist (Single Cell)
relationrx· Data Science/Computational Biology
LondonFull-timePosted 2mo ago
About the role
Senior Data Scientist focused on building generative and predictive models of cellular behaviour with an emphasis on single-cell multi-omics, integrating multi-modal datasets, and partnering with wet-lab scientists to translate insights into actionable biology.
Responsibilities
- Process and QC paired single-cell RNA-seq and scATAC-seq at scale from thousands of perturbations across diverse cell types and biological contexts.
- Develop and maintain Nextflow pipelines compatible with custom combinatorial indexing chemistries and including methods such as STARsolo, Alevin-fry, Chromap, and SnapATAC2.
- Integrate scRNA-seq and scATAC-seq with extracellular proteomics and high-content imaging to build multimodal training datasets.
- Manage data in memory-efficient formats (e.g. Zarr) for GPU-accelerated processing and model training at scale.
- Partner closely with wet lab scientists from screen and cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value.
- Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held-out benchmarks, and biological sanity checks.
- Collaborate closely with ML modellers to develop model architectures.
- Present findings and methodologies to internal stakeholders and contribute to publications.
Qualifications
- A 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, ideally including paired RNA + ATAC (10x Multiome or equivalent).
- Proficiency with single-cell analysis toolkits (e.g. scverse ecosystem) and workflow management frameworks (Nextflow, Snakemake).
- Experience with arrayed CRISPR perturbation screen data, including well-level perturbation assignment via sample hashing, perturbation-specific QC (e.g. MOI estimation), and single-cell effect quantification.
- Proficiency in Python and familiarity with high-performance computing environments.
- Strong communication skills to bridge experimental and ML teams across a fast-moving programme.
Skills
Required:Single-cell data analysisNextflow/SnakemakePython
Nice to have:CRISPR perturbation analysis
Benefits
- Bonus Experience: Experience integrating multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis.
- Bonus Experience: Exposure to foundation model development or perturbation prediction models.
- Bonus Experience: A background in statistical modelling and algorithm development.
- Bonus Experience: Experience working in interdisciplinary teams.
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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