CMC Workflow Specialist; Analytical​/Tech Transfer

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.

• 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.

• 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/Co As , 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 Master Control),
  ELN/LIMS (Benchling, Lab Ware, Sample Manager),
  CDS (Empower/Chromeleon),
  Jira/Service Now
  .
• Comfort collaborating with engineers; you enjoy turning tacit know‑how into templates, schemas, and acceptance criteria
  .

• 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.

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.