Clera - Your AI talent agent
LoginStart
Start

This position is no longer available

Raycaster logo
Raycaster

CMC Workflow Specialist (Analytical/Tech Transfer)

remote•New York•$83k - $270k

Summary

Location

New York

Salary

$83k - $270k

Workplace

Remote

Experience

3+ years

Visa

US citizenship/visa not required

Company links

Website

This position is no longer available

This job listing has been removed by the employer and is no longer accepting applications.

Browse Similar Jobs

About this role

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.

Technology

AI agents Evals File systems MCP Computer use

Interview Process

Take-home assignment (30 min) to assess existing expert knowledge.

Workflow deep-dive (30 min): You walk us through a real late-stage workflow you know cold (e.g., tech transfer pack or validation summary). We map inputs → outputs → approvals and capture edge cases.

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.

About Raycaster

About RaycasterWe 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.

Looking for similar opportunities?

Browse other open positions that match your skills

Frequently Asked Questions

What does Raycaster pay for a CMC Workflow Specialist (Analytical/Tech Transfer)?

Toggle
Raycaster offers a competitive compensation package for the CMC Workflow Specialist (Analytical/Tech Transfer) role. The salary range is USD 83k - 270k per year. Apply through Clera to learn more about the full compensation details.

What does a CMC Workflow Specialist (Analytical/Tech Transfer) do at Raycaster?

Toggle
As a CMC Workflow Specialist (Analytical/Tech Transfer) at Raycaster, you will: 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.; and more.

Is the CMC Workflow Specialist (Analytical/Tech Transfer) position at Raycaster remote?

Toggle
Yes! The CMC Workflow Specialist (Analytical/Tech Transfer) position at Raycaster is a remote role, with team members based in New York, United States. Apply through Clera to learn more about their remote work policies.

How do I apply for the CMC Workflow Specialist (Analytical/Tech Transfer) position at Raycaster?

Toggle
You can apply for the CMC Workflow Specialist (Analytical/Tech Transfer) position at Raycasterdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
Clera - Your AI talent agent
© 2026 Clera Labs, Inc.TermsPrivacyHelp