relationrx
Senior Data Scientist (Single Cell)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About Relation
Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.
We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact.
We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients.
The Opportunity
Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on single cell multi-omics. Your work will be central to our mission to understand and control cellular decision-making, enabling novel therapeutic strategies grounded in generative models.
You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Day to Day
- 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.
Professionally, you will have
- 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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Bonus Experience
- 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.
Personally, you
- Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.
- Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.
- Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.
- Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
- Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes.
Working Style & Culture at Relation
At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting!
Recruitment Agencies
Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location