
Deep Science Ventures (DSV) is a venture creator that combines scientific knowledge with founder-type scientists to build high-impact ventures across five key sectors: Agriculture, Climate,…

Deep Science Ventures (DSV) is a venture creator that combines scientific knowledge with founder-type scientists to build high-impact ventures across five key sectors: Agriculture, Climate,…
Big Picture Bio is a seed-stage techbio company, backed by DSV, building a computational drug discovery platform that constructs causal biological networks from two primary sources: structured extraction of published experimental literature and large-scale primary human single-cell omics data. 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 are initially focused on oncology.
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:
PhD in computational biology, bioinformatics, genomics, systems biology, or related quantitative field
Strong desirables
Nice to have
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.
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 with meaningful overlap with UK hours; minimal management layers and direct impact on decisions.
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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)