Staff Data Engineer

About the Role

We're hiring a Staff Data Engineer to own the pipelines that move patient data through our platform, from EMR systems to the workflows our teams use to identify eligible patients for clinical trials and help them enroll.

This is the center of a major architectural shift for us: moving from narrow, human-assisted data pulls to robust, automated integrations that ingest complete patient records. The clean, complete, and trustworthy data you’ll manage powers our AI-assisted patient-trial matching. If healthcare data at HIPAA-grade stakes, messy real-world inputs, and pipelines that genuinely change patient outcomes sound like the right problem space, please keep reading.

Our engineering culture values direct communication, strong ownership, and low-ego collaboration. We laugh a lot and use a ton of Slack emojis. We make decisions quickly, give open feedback, and have a strong bias toward action.

How We Build with AI

AI is deeply embedded in how we work, in our product, and in our SDLC. Our embrace of it didn't come from a mandate but from our own desire as engineers to do more, safely. We use it for coding, testing, measuring, and iterating, and we treat it as a genuine competitive advantage. We're looking for someone who shares that instinct: excited to question long-standing processes and think ambitiously about what's possible when you pair strong engineering fundamentals with AI tooling. If you're already building that way, you'll fit right in.

Underneath it all is a modern platform built on AWS (Lambda, Fargate, SQS, RDS, Bedrock) with

• 1. Showing a cavalier attitude toward compliance, regulatory frameworks, or data privacy
• 2. Failing to understand the complex stakeholder ecosystem of sponsors, sites, and patients
• 3. Proposing tech-first solutions that create compliance risks in clinical settings

I accelerate healthcare innovation by building compliant, secure technology that streamlines complex clinical trial workflows.