LOCATION: King’s Cross, London · PATTERN: Hybrid, with regular time in the labThe opportunityWe’re a stealth startup in AI and bio, building infrastructure for data generation.
The team is small and elite, the problems are hard, and the foundations are being laid right now.
You’d help write them from the first line, with real ownership and a direct line to the founders.
This role builds our analysis from the start.
Every result leaves an instrument as a trace or a vendor file, and it has to become a value someone can rely on, linked back to the sequence and sample it came from.
That means fitting it properly, checking it against controls, catching the plate or reagent lot that drifted, and showing the evidence.
Someone has to own that work.
That is this role.
The data that matters most doesn’t exist yet, so we’re building the infrastructure to produce it, with quality and traceability built in from day one.
We’re in stealth and heads-down on execution.
We’ll share more about what we’re building once you’ve spoken with the team.
The roleYou will join the intelligence team and own the analysis of our assay data, and the data and ML infrastructure it runs on, from the point the data has been captured to the result that gets delivered.
You will work most closely with the protein characterisation scientists who run the assays, and with the software team, who get data out of the instruments and own the platform it lives on.
You build on top of that platform, and you own the quality of the analysis that runs on it.
The role is part data engineer and part biostatistician, and all of the data is biological.
Much of it is building the analysis and ML pipelines that run on our captured data, and the statistics inside them.
The rest is presenting those results clearly, with the statistics that matter, such as uncertainty and QC, shown in a form they can understand.
The value is in doing that carefully, in code that behaves the same way o.