Bioinformatician (Spatial & Single-Cell)

StealthCo is a seed-stage techbio company, created within DSV, building a computational drug discovery platform that constructs causal biological networks from large-scale primary human single-cell omics data and structured published experimental literature. Our multi-agent AI system reasons over these networks to generate, simulate, and rank mechanistic hypotheses for combination therapies — with system accuracy verified against top-tier researchers at the Allen Institute. We will initially focus on oncology indications.

The Role (remote, timezone-restricted)

You will design and build production bioinformatics pipelines for new modalities—spatial transcriptomics, single-cell proteomics, and spatial proteomics—extending our existing scRNA-seq infrastructure. These pipelines feed directly into an agentic hypothesis generation system: the quality of what goes in determines the quality of every therapeutic hypothesis that comes out.

You’ll work closely with our Head of AI & Technology (Dr. Francesco Moramarco) and Head of Platform (Dr. Moustafa Khedr) to:

• Build end-to-end pipelines (ingestion, QC, normalisation, integration, annotation, differential analysis)
• Design modality-specific statistics: spot deconvolution, spatial autocorrelation, ADT normalisation, protein-RNA joint embedding, segmentation, spillover correction
• Extend hierarchical cell type annotation across modalities
• Codify best-practice workflows into reusable templates for agent execution
• Sanity-check outputs to catch batch effects and artefacts before they propagate

Requirements:
• PhD in computational biology, bioinformatics, genomics, systems biology, or related quantitative field

• 2–6 years experience in early-stage/high-growth startups
• Pipeline-building experience with spatial transcriptomics (Visium, MERFISH, Xenium) from scratch
• Experience with single-cell or spatial proteomics (CITE-seq, CyTOF, CODEX, IMC)
• Strong Python engineering in the anndata ecosystem (scanpy/squidpy/muon)
• Deep single-cell & spatial statistics knowledge (pseudobulk, multiple testing correction, mixed-effects models, compositional analysis)
• Strong biology grounding; can distinguish biology vs confound; assess mechanistic plausibility
• Timezone: at least 5 hours overlap with UK working hours (UTC−4 through UTC+4 preferred)

Strong desirables

• Tumour biology / cancer immunology (TME, immune evasion, resistance)
• Comfort working in an AI-mediated workflow and writing analysis plans executed by agents
• Experience building pipelines/tools consumed by others; cloud compute (GCP preferred); R proficiency

Nice to have

• Wet lab experience and familiarity with the 10x Genomics ecosystem

We know job descriptions like this can read as a wish list. If you don't tick every box, but believe you can build what we need - apply anyway! We care more about what you've built and how you think than whether your CV maps perfectly to every bullet point.

Benefits:
Competitive compensation commensurate with experience and profile, plus equity participation. Flexible arrangement depending on location and preference (full-time employment or long-term consultancy). Small, technically intense team with high autonomy and ownership. Remote-first. Minimal management layers and direct impact on decisions.