About the role

About Raycaster
Raycaster builds AI agents for life sciences. Backed by leading life sciences investors and YC, we’re already working with Agilent, Yokogawa Life Sciences and many leading instrument, CRO, CDMO, and biotech companies. Our platform helps teams move faster with audit-ready deliverables and compliant automation.

The role (what you’ll do)
We’re looking for a clinical trial operations expert (background in CRO, sponsor, or site) to design and validate workflows that support patient engagement, trial enrollment, and site coordination. You’ll help us translate real-world processes into repeatable workflows that our platform can automate and scale.

• Map end-to-end workflows in clinical trial enablement (pre-screening, recruitment, enrollment, site engagement, patient support).
• Define requirements for compliance (21 CFR Part 11, HIPAA, GDPR) and patient-facing communications.
• Work with Raycaster’s AI engineers to build and test “copilot” workflows.
• Provide subject-matter expertise on CTMS, EDC, IRT, and other systems integration.
• Help benchmark time savings, efficiency gains, and patient/PI satisfaction impact.

You might be a fit if you have

• 3+ years in clinical operations, patient recruitment, or trial management (CRO, pharma, or site).
• Familiarity with CTMS/EDC systems and regulatory requirements for patient-facing tools.
• Experience leading initiatives that improved patient engagement, recruitment, or retention.
• Comfortable working at the intersection of clinical science, digital tools, and operational workflows.

Why Join Us

• Shape how AI gets applied to real patient-facing workflows in clinical research.
• Collaborate with a fast-growing team building the first agentic platform for life science providers.
• Opportunity to see your workflows turned into production-ready copilots used by global CROs and sponsors.

About the interview

1. Take-home assignment (30 min) to assess existing expert knowledge.
2. Workflow deep-dive (30 min): You walk us through a real late-stage workflow you know cold (e.g., patient recruitment). We map inputs → outputs → approvals and capture edge cases.
3. Offer

About Raycaster

Raycaster builds AI systems for complex professional work and helps leading AI labs train and evaluate models on that work. We began as an agentic AI platform serving dozens of publicly traded companies across life sciences, energy, and oil and gas. Building on that experience, we launched a division focused on domain-specific training data, benchmarks, and evaluation environments.

Our work brings together engineers, researchers, and industry experts to turn real workflows into measurable improvements in AI capability. Joining Raycaster means working on both sides of the problem: building agents that perform useful work and developing the evaluations that reveal where they still fall short.