agentk2049
Clinical trials cost about $1B each and roughly $1M for every day they run late. They are still run on manual data review: people checking data by hand across spreadsheets and PDFs, hoping nothing was missed.
We automate it. Continuous data cleaning, data that stays analysis-ready, and signals across the whole study so sponsors can make decisions on data they trust.
What that means in practice: - Reconciling data from many systems that describe the same patient differently - A rules engine expressive enough that new studies get configured, not coded - Findings a clinician will act on, which means correct and self-explaining - Real product surface: this is what people stare at all day
In production with pharma sponsors. Small team, second engineering hire, no legacy to defend.
Stack: Django/Python, React, AWS. SOC 2 Type II.
Comp: $170-220K + equity.
Email us @ [email protected]
Octozi is a revenue-generating seed-stage company building AI agents for clinical development workflows. Bringing a drug to market can take a decade and cost up to $2B, keeping treatments expensive and delaying life-saving therapies for the patients who need them. We're cutting the cost and time of these workflows while improving the science and analysis of clinical data.
We already have commercial contracts with multiple pharma companies and are scaling the team to meet demand. The interesting problems span agent orchestration over messy clinical datasets, human-in-the-loop review at scale, and turning unstructured medical reasoning into auditable, regulator-ready output.
Looking for a full-stack engineer to join as a founding hire with startup experience strongly preferred. Stack: Python, TypeScript, AWS, PyTorch.
Reach out to careers [at] octozi.com and mention HN.
Full description: https://wellfound.com/recruit/jobs/4163102