
AI for life sciences documents
Nice to have: interest in biotech, healthtech, or any regulated industry
We’re working on agent / domain-specific evals, new embeddings and indexing benchmarks, and may publish benchmarks / deep dives and submit to conferences / journals. If you want to help set standards for this space, there’s room.
Logistics
Apply: send (1) GitHub / past systems you built, and (2) one paragraph on why you’re interested in working at Raycaster to founders [at] raycaster.ai
45m technical → 60m deep dive → 90m pairing → 1-week paid work trial → founder chat
Raycaster is the first AI-native document workspace (Cursor for Documents) for high-stakes work, starting in life sciences (CMC, quality, regulatory). Instead of 47 versions of a Word doc in someone’s inbox, customers get a single living dossier: thousand-page PDFs, flows, and clinical data in one place - searchable and kept in sync.
We’re backed by YC, leading life sciences investors (behind companies like Oscar Health and Mammoth Bio), and execs from Definitive Healthcare, Colossal Biosciences, and IQVIA. We’re already working with enterprise customers globally.