Design
Understand how trials work.
Learn trial phases, endpoints and statistical considerations, and where AI is applied in drug discovery.
Campus AI · For B.Pharm & M.Pharm students
AI for Pharmacy & Clinical Research. AI skills for pharma R&D and clinical research.
Rooman's AI for Pharmacy & Clinical Research is a 40-hour, 8-week online course for B.Pharm, M.Pharm and BSc Pharmacy students. You learn clinical trial design, AI-assisted trial documentation, pharmacovigilance, regulatory and medical writing and GxP basics, then design a hypothetical trial protocol in a capstone and earn the Rooman Campus AI Certificate.
40 hours9 modulesWeekly live cohortCapstone project
What you'll be able to do
Use AI in pharma R&D and clinical research.
Many pharmacy graduates start in retail or distribution. Pharma R&D, clinical research organisations (CROs), pharmacovigilance and medical writing are other paths, and this course teaches the AI skills those roles look for, from trial documentation to safety narratives and regulatory writing.
Document
Draft trial documents with AI.
Draft protocols, ICFs, CRFs, pharmacovigilance narratives and regulatory documents with AI assistance, then check them.
Comply
Work to industry standards.
Learn ICH guidelines and get an overview of GCP, GLP and GMP.
Skills covered
- Pharma career landscape
- AI in drug discovery
- Clinical trial design intro
- AI for clinical trial documentation
- Pharmacovigilance with AI
- Regulatory writing with AI
- Medical writing
- GxP compliance basics
Who it's for
Built for pharmacy students.
The course is for B.Pharm, M.Pharm and BSc Pharmacy students who want to work in pharma R&D or clinical research organisations. It suits future pharmacovigilance professionals and aspiring medical writers. Recent graduates are welcome too.
Who takes this course
- B.Pharm students
- M.Pharm students
- BSc Pharmacy students
- Future pharmacovigilance professionals
- Aspiring medical writers
Entry requirements.
- A current B.Pharm, M.Pharm or BSc Pharmacy student, or a recent graduate
- A background in pharmacy or pharma work
- Completion of AI for ALL
New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.
40 hours · 9 modules
A curriculum built around the documents pharma teams write.
The modules move from trial design to the protocols, safety narratives and regulatory documents built on it, and end with a protocol you design yourself.
01Pharma career landscape3 hrs
What R&D, CRO, regulatory, medical writing and pharmacovigilance teams each do.
Topics covered
- Pharma R&D and clinical research organisations (CROs)
- Regulatory affairs and medical writing
- Pharmacovigilance: monitoring drug safety
- Where AI tools fit in each role
You produce: a career map for the pharma role you want.
02AI in drug discovery5 hrs
Where machine learning and AI are applied in drug discovery, what is worth learning and what is hype.
Topics covered
- Where machine learning is applied across drug discovery
- What is worth learning as a pharmacy graduate
- Spotting hype in AI drug discovery claims
You produce: a short briefing that separates AI results from hype.
03Clinical trial design intro6 hrs
How clinical trials are structured: phases, endpoints and the statistics behind them.
Topics covered
- Trial phases I to IV: what each one tests
- Choosing primary and secondary endpoints
- Statistical considerations: sample size, randomisation and blinding
- A first look at trial data in Python
You produce: an outline design for a hypothetical trial.
04AI for clinical trial documentation5 hrs
Draft protocols, informed consent forms and case report forms with AI, then review them properly.
Topics covered
- Protocol structure and AI-assisted drafting
- Informed consent forms (ICFs) in clear, plain language
- Case report forms (CRFs) that capture the right data
- Reviewing AI drafts for accuracy and compliance
You produce: AI-assisted drafts of a protocol section, an ICF and a CRF.
05Pharmacovigilance with AI5 hrs
Use AI to support adverse event detection, signal management and case narrative writing.
Topics covered
- Adverse events and how they are reported
- AI-supported detection of adverse events in reports and data
- Signal management basics
- Writing case narratives with AI assistance, and checking them
You produce: an adverse event case narrative, drafted and checked.
06Regulatory writing with AI5 hrs
Write regulatory documents to ICH guidelines with AI help, and avoid common deficiencies.
Topics covered
- ICH guidelines: what they cover
- The structure of regulatory submission documents
- Common deficiency patterns, and how to avoid them
- Drafting and reviewing regulatory text with ChatGPT and Claude
You produce: a regulatory document section checked against ICH guidelines.
07Medical writing4 hrs
Draft manuscripts, choose a journal and work through peer review.
Topics covered
- Structuring a manuscript: introduction, methods, results and discussion
- Drafting with AI while keeping accuracy and your own voice
- Choosing a journal
- Responding to peer review comments
You produce: a drafted manuscript section.
08GxP compliance basics3 hrs
An overview of Good Clinical, Laboratory and Manufacturing Practice (GCP, GLP and GMP).
Topics covered
- Good Clinical Practice (GCP) for trials
- Good Laboratory Practice (GLP)
- Good Manufacturing Practice (GMP)
- How GxP applies across trials, labs and manufacturing
You produce: a GxP quick-reference sheet.
09Capstone4 hrs
Design a hypothetical clinical trial protocol with AI assistance, and submit it for review by a pharma mentor.
Topics covered
- Choosing a hypothetical study question
- Designing phases, endpoints and statistics
- Drafting the protocol with AI assistance
- Submitting it for review by a pharma mentor
You produce: your capstone trial protocol, reviewed by a pharma mentor.
Tools covered
The tools you'll work with.
Every tool is used hands-on in cohort labs, and Python is taught at an introductory level.
| Tool group | Tools | What you use them for |
|---|---|---|
| AI assistants | ChatGPT, Claude | Draft and review protocols, narratives and regulatory text |
| Programming | Python (intro) | Take a first look at trial and safety data |
| Data sources | Pharma databases | Research drugs, trials and safety information |
| Trial systems | Clinical trial management systems | See how trials are planned, tracked and documented |
Capstone
Your protocol. Reviewed by a mentor.
Design a hypothetical clinical trial protocol with AI assistance throughout. Then submit it for review by a pharma mentor.
Along the way you complete hands-on lab exercises in every module.
Your capstone portfolio.
- A drug discovery hype-versus-reality briefing
- AI-assisted drafts of an ICF and a CRF
- A pharmacovigilance case narrative
- A regulatory document section
- Your capstone: a hypothetical clinical trial protocol
Your credential
Rooman Campus AI Certificate.
A skill certificate with a completion record. It is not a degree. It records the course you completed and the capstone you built.
Your capstone portfolio shows what you can do with AI, which is what employers, clients and interviewers ask to see.
What's included
Everything you need to finish.
- Certified industry-expert trainers
- Weekly live cohort sessions online
- AI-powered LMS with 1-year access
- Hands-on lab exercises and a capstone project
- Résumé, LinkedIn and portfolio workshop
- Help with internship matching
Before you enrol
Questions pharmacy students ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
The course is for B.Pharm, M.Pharm and BSc Pharmacy students who want to work in pharma R&D or clinical research organisations. It suits future pharmacovigilance professionals and aspiring medical writers. Recent graduates are welcome too.
Which AI course should a B.Pharm student take?
Start with AI for ALL. Then take AI for Pharmacy & Clinical Research, which covers clinical trial design, AI-assisted trial documentation, pharmacovigilance, regulatory and medical writing, and GxP basics.
Is this for college students only?
Mostly, yes. Recent graduates and career-switchers are welcome too.
What do I need before I start?
You need a pharma background, such as a B.Pharm, M.Pharm or BSc Pharmacy course, and completion of AI for ALL. The Sciences Foundation is not required, and Python is covered only at an introductory level.
Does the course teach clinical decision-making?
No. It covers the research, documentation and data side of pharma: trial design, protocols, ICFs and CRFs, pharmacovigilance narratives and regulatory writing. It does not train you to make clinical decisions.
Do I need to know coding?
No. The prerequisites are a pharma background and AI for ALL. Python is covered only at an introductory level.
How much time does it take?
40 hours over 8 weeks, combining self-paced lessons with one live cohort session each week.
Is it online or classroom?
It is taught online, with self-paced lessons and a weekly live cohort session, so it fits around college or work. Ask a counsellor about classroom batches.
Will I get hands-on with real tools?
Yes. Every tool listed on this page is used hands-on in cohort labs.
What is the capstone?
Design a hypothetical clinical trial protocol with AI assistance throughout. Then submit it for review by a pharma mentor.
What can I do after this course?
You can build data skills with Healthcare Data & AI, or research and writing skills with Research & Scientific Computing with AI.
Is this course AICTE or UGC approved?
It is a skill course from Rooman, not a UGC-approved degree. You receive the Rooman Campus AI Certificate and a completion record.
Will my college recognise this?
Rooman's partner colleges may count it as a skill credit. Check with your college's placement officer.
Does the course include placement support?
Yes: a résumé and LinkedIn workshop, and help with internship matching. It is not one of Rooman's job-guaranteed programmes.
Which certificate will I receive?
The Rooman Campus AI Certificate, with a record of the course you completed.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
Can my college run this course for a whole batch?
Yes. Colleges can bring Campus AI courses to their students through Rooman's university partnerships. Placement or training officers can call 080 6945 1000.
Related courses.
All Sciences courses
45 hrs10 modulesHealthcare Data & AIFrom a life-sciences degree to healthcare data and clinical research careers.
50 hrs10 modulesResearch & Scientific Computing with AIAI across literature review, analysis and writing, for students heading into research.
60 hrs10 modulesBioinformatics & Computational BiologyWhere biology meets data science.For collegesBring Campus AI to your college?Placement and training officers can run this course for a whole batch through Rooman's university partnerships.Talk to usNext step
Start with a conversation.
Tell us your course and year, and a counsellor will call you with batch dates, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.