Raycaster

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 Raycaster We build 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 companies to automate their regulated, complex processes to accelerate drug development. The role (what you’ll do) Partner with CMC teams to map current workflows end-to-end (inputs, systems, approvals, artifacts). Decompose tech-transfer packages (method revs, redlines/rationales, representative chromatograms, acceptance tests) into steps an AI can execute with citations. Capture validation/stability/release processes (accuracy/precision/linearity/LOQ, OOT rules, spec checks, CoAs) and translate them into checklists, schemas, and templates. Define data and document requirements (e.g., LIMS/CDS exports, S3/SharePoint/Vault locations), edge cases, and “fail-closed” rules (no source → no claim). Review AI-generated drafts for scientific correctness and compliance expectations (21 CFR Part 11). Create clear SOPs/playbooks for each automated workflow; iterate with engineers to reach “ready for pilot” quality. You might be a fit if you have 3 years in CMC/Analytical Development or QC, ideally touching Phase 2/3 or tech transfer to CRO/CMO/CDMO. Hands-on with HPLC/LC-MS (Ion-Pair, HILIC, AEX), method/SOP authoring, and interpreting system-suitability & chromatograms. Built or reviewed validation packets (ICH Q2(R1/R2)), stability trending/OOT, release specs/CoAs, and change control narratives. Operated in non-GMP → GMP handoffs; practical understanding of 21 CFR Part 11 expectations (audit trail, e-sig routing, data integrity). Familiarity with at least some of: Veeva Vault (or MasterControl), ELN/LIMS (Benchling, LabWare, SampleManager), CDS (Empower/Chromeleon), Jira/ServiceNow. Comfort collaborating with engineers; you enjoy turning tacit know-how into templates, schemas, and acceptance criteria. Nice to have ASO, mRNA/LNP, peptides, or oligo experience; Phase 3/registration exposure. Awareness of CSV (computerized system validation), ALCOA+, and doc control practices. Light data skills (reading CSVs, understanding units/columns) and curiosity about AWS/S3/Athena-style data lakes. Why this is interesting You’ll help design the cutting edge of audited AI workflows that save teams hours per artifact while keeping reviewers in control. Your fingerprints will be on how modern CMC gets done.

NYC · In-person (Hudson Yards) · Base + aggressive commission + equity 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. The product resonates - now we’re hiring our first GTM to turn early demand into a repeatable machine. What you’ll do: Own pipeline end-to-end: outbound + inbound + conferences/events Run deals: discovery → demo → champion-building → stakeholder mapping → procurement/legal → close Keep the machine tight: rigorous CRM hygiene, next steps, forecasting, follow-up discipline Bring signal to product: turn customer pain + objections into weekly feedback and product ideas What we care about: You’ve personally closed non-trivial B2B deals (bonus if into regulated buyers: biopharma, med devices, healthcare - other complex committees like gov/defense, energy, finance, legal also count) You learn domains fast and ask sharp questions without hiding behind jargon You use AI and tools to move faster, but you don’t outsource your thinking or voice. You run a disciplined pipeline/CRM: can balance whales with reliable five-figure closes in a multi-stakeholder environment You want to be in the room: in-person in NYC, iterating daily with founders, earning your way into leadership Comp & Setup Competitive base + aggressive commission (high upside if you close). Way above market equity, real path head of GTM and C-suite. To apply, send a short note to founders [at] raycaster.ai with one deal you personally closed (who, price, cycle time) and exactly how you got it done.

What you’ll do Maintain the core: agent orchestration + document pipelines + versioning Ship end-to-end: Go backend + React UI (you’ll touch everything) Make it reliable: evals, guardrails, observability (no demo-only systems) Turn customer pain into product fast (you’ll talk to users) What we care about You’ve built and shipped real systems (Go/Rust preferred). You can own a subsystem. You’re strong on fundamentals: distributed systems, concurrency, performance You’ve shipped AI/LLM features in production, and you learn new things insanely fast and can prove it You have high attention to detail + high standards You have product taste: you notice UX/copy/states, not just code If you don’t know something, you figure it out in hours - not weeks Nice to have: interest in biotech, healthtech, or any regulated industry Research angle (optional) 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 NYC, in-person, 5 days/week (we build better together) Competitive base + founder-level equity (2–10%) 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