Own the lab data platform end to end. Design and run the pipelines that move data from instruments, our ELN/LIMS and bench workflows into our warehouse (BigQuery) and into Kernel, with quality checks, lineage and versioning built in. Embrace FAIR principles in data stewardship.
Model the biology and the process. Build schemas that link a molecule design to its constructs, the cell pools and clones that carry them, the bioprocess, and every titer, quality, and stability measurement taken along the way.
Feed the models and the product. Deliver clean, ML-ready datasets to our modeling and computational biology team, and ship APIs and services that surface lab results inside Kernel and to KernelAI, our agentic design assistant.
Enable the science. Build deterministic and agentic reporting and analysis tools and dashboards side by side with computational and data scientists to close the loop from data back to design input.
About you
You have 8+ years building production data systems (5+ for Senior), and you've owned a data platform's architecture, not just its pipelines.
You write strong Python and SQL, and you're comfortable shipping backend services and APIs, not only batch jobs.
You've worked in or alongside a biotech wet lab, and you know why lab data gets messy. You'd rather walk into the lab and watch an experiment than guess at requirements.
You can take an ambiguous, first-of-its-kind problem and turn it into a system scientists actually adopt.
We're a small team where software engineers and biologists share a floor, and your work shows up in real experiments within weeks, not quarters. We value velocity, autonomy and concrete outcomes over process. If you've ever wished lab data just made sense, come build the system that makes it so.
We’re fueled by a vision to transform biological engineering into a fully-fledged engineering discipline. Should you join our team, you will grow with a constantly evolving organization and push the frontiers of synthetic biology. Company culture is key to Asimov, and we believe that our mission can only be achieved by bringing together a diverse team with a mixture of backgrounds and perspectives.
