Raycaster AI
Campus Fellows Program
For students in regulatory, quality, and biopharma programs who want to become AI-native professionals — and help shape how AI should support submission-quality document work.
Learn
Learn citation-first, audit-ready workflows for regulated writing — the same ones practitioners use on real submissions
Get access
Get hands-on access to Raycaster's document workspace: upload sources, generate drafts and tables, review AI outputs with tracked changes
Build
Build a portfolio of teaching materials and workflow artifacts that signals job readiness to employers
What Campus Fellows do
Use Raycaster to practice how regulatory professionals actually work with documents — uploading sources, asking questions with citations, generating tables and narratives, and reviewing AI outputs before they're final. Then build teaching materials so your peers can learn the same workflows.
Practice real regulatory document work
Use Raycaster the way practitioners do: upload source documents, ask cited questions, generate spec tables and draft narratives, compare documents for gaps, and check compliance against standards like ICH and FDA guidance.
Build repeatable workflows for peers
Create teaching guides, prompt packs, and checklists that walk other students through source-to-table workflows, compliance checks, and document comparison — things they can reuse on their own.
Teach responsible, auditable AI usage
Host 1–2 short sessions per term (workshops or office hours) showing peers how to verify citations, review staged changes before committing, and avoid hallucinated content — the core disciplines of using AI in regulated environments.
Help define what "submission-grade AI" should look like
Report failure modes you find (missing citations, wrong source attribution, formatting issues), suggest improvements, and give the Raycaster team structured feedback on what students need from an AI document workspace.
Focus areas
These map to real tasks practitioners run in Raycaster today
Source-to-table workflows
Turn source documents (specs, stability data, COAs) into structured tables with citations back to the original file and page
Module 3 / control strategy practice
Work with CMC sections (3.2.S, 3.2.P) to understand how regulatory submissions are structured and what AI can draft vs. what needs human judgment
Module 2.3 (QoS) alignment
Practice checking whether a Quality Overall Summary is consistent with the underlying Module 3 data
RTQ / deficiency response drafting
Use public or synthetic examples to practice drafting agency responses with cited evidence
Global regulatory intelligence
Compare jurisdiction requirements (FDA vs EMA vs MFDS) using Raycaster's document Q&A with cited sources
Compliance verification
Check a document section against a standard (e.g. ICH Q6A, ICH Q1A) and produce a gap list with citations
Who it's for:
- Regulatory Affairs / Regulatory Science / RAQA students
- Quality (QA/QC), GMP, Validation, QMS students
- CMC / Pharmaceutics / Bioprocess / Bioengineering students
- Clinical research / medical writing / document-heavy health programs
What you get
Get hands-on experience with the same AI document workspace that regulatory professionals use — plus a community and portfolio that helps with internships and hiring.
Free Raycaster Student access
The same multi-file workspace, AI chat, document parsing, and review tools that practitioners use
Training from the Raycaster team
Learn how to write effective prompts for regulatory work, structure source-to-table workflows, and review AI outputs critically
Early access to new workflows and features
Try new capabilities (e.g. compliance checking, multi-document comparison) before general release
Portfolio artifacts
Prompt packs, teaching guides, rubrics, and example outputs you create become portfolio pieces that demonstrate AI fluency to employers
Office hours with regulatory / CMC practitioners
Guest sessions from working professionals as available
Free dinner, swag, and trips to conferences
When available
How it works
~2–4 hours/month. Mostly async.
Learn
Onboarding module: responsible use principles, how citations work in Raycaster, how staged changes and version control keep AI outputs reviewable, and why "AI suggests, you decide" matters in regulated work.
Practice
Work through public or synthetic source packs in the Raycaster workspace. Upload documents, generate drafts and tables, compare sources, check compliance — then review the AI's outputs for accuracy, completeness, and proper citation.
Lead
Run small campus sessions (workshops or office hours) and share your teaching materials and structured feedback with Raycaster. Your artifacts go into a shared library that other Student Fellows can use.
FAQ
No. The program is for responsible skills-building and professional development. We don't help generate answers for graded assignments. The goal is to learn workflows — source-to-table, compliance checking, document comparison — that you'll use in internships and jobs.
Apply to the Student Fellows Program
If you're in a biopharma, regulatory, or document-heavy program and want to become AI-native in regulatory writing — while helping shape the future of responsible AI for submissions — apply below.
Drug development,
accelerated.
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