Your background

• Three to five years building and operating production data infrastructure, mainly in Python. You have owned pipelines that other people depended on and dealt with them when they failed.
• You have worked in a team with solid engineering practice and know what good review, testing and deployment look like day to day.
• Comfortable with a workflow orchestrator such as Dagster, Airflow or Prefect, and with configuring cloud compute directly. We run on AWS, so Batch, Fargate and S3 experience matters.
• You can work from a specification, and you will call out gaps or bad assumptions rather than quietly implementing them.
• You can talk to a scientist about how their data is generated, understand the practical constraints, and tell those apart from preferences or one-off requests.
• You are motivated by making systems reliable and maintainable.

Nice to have:

• Biological or scientific data, particularly sequencing or omics, including the awkward file formats and incomplete metadata that come with it.
• Dagster in production and infrastructure-as-code with Terraform or equivalent.
• Analytical stores such as ClickHouse or DuckDB and transformation tooling such as dbt or SQLMesh.
• Working closely with a wet lab, or with data whose quality depends partly on what happens at the bench.
• Building data infrastructure for LLM or agentic systems, where changes to schemas, metadata or provenance can silently affect the output.

Why Join Outpost Bio?

• You'll own real equity in what you build. We offer meaningful stock options because we believe the people building this company should share in what it becomes. We want teammates who think like owners, and we structure compensation to reflect that.
• Outstanding benefits. Private medical and dental with Bupa from day one, paid by Outpost, and dependents covered at 50%. Pension with a 3% employer contribution. Life insurance, income protection and critical illness cover, all employer paid. Cycle to Work scheme. 25 days holiday plus bank holidays, your birthday off, and a paid winter break between Christmas Eve and New Year.
• An ML Lab-in-the-Loop. Your work feeds directly into Outpost's AI platform, and the platform feeds back into the next experiment. The loop between the wet lab, the data and the models runs in days, not years, and you'll iterate inside it whichever side you sit on.
• How we work. Expected in the office Monday, Wednesday and Friday, with flexible hours around a 10am to 4pm core and up to two weeks a year working from anywhere. Home office stipend and company computer. We cover conference costs and want you presenting your work, and every quarter you get a budget for drinks or coffee to learn from peers at other companies.
• Small team, outsized reach. You're joining a small founding team backed by top-tier investors with deep connections across AI and bio. The science you do here will directly shape how pharma and consumer companies understand molecule and microbiome interactions.