Exclusive at BCRI ✦ Hands-On Clinical Data Management & Pharmacovigilance Training with Database Access ✦ Unavailable Elsewhere!

Master AI, ML, and NLP applications shaping the future of drug safety and clinical data.

AI in Clinical Research
10-Day Program in CDM & Pharmacovigilance

Duration:10 hours
Mode: Live Online

AI in Clinical Research Course: Learn how AI is redefining Pharmacovigilance and Clinical Data Management.

BCRI review -Bangalore Clinical Research Institute

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BCRI’s AI in Clinical Research Bootcamp
AI-powered certification in Clinical Research

#1 AI in Clinical Research Bootcamp

Shaping the Future of CDM & Pharmacovigilance with AI Excellence

We prepare our students to be future-ready by delivering the most up-to-date training in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) — with real-world applications in Clinical Data Management (CDM) and Pharmacovigilance (PV). AI in Clinical Research program blends core AI concepts with practical industry use cases, giving you hands-on exposure to how automation is transforming clinical research.

The Bangalore Clinical Research Institute (BCRI), a recognized training partner under LSSSDC, is India’s leading institute for advanced clinical research training. With a strong track record in CDM, PV, Clinical SAS, and Regulatory Affairs, BCRI now brings a first-of-its-kind 10-day Bootcamp focused on AI-driven transformation in clinical research workflows. Our curriculum is carefully designed to bridge domain knowledge with cutting-edge AI applications used by CROs, sponsors, and regulatory bodies worldwide.

Launch Your Career in AI-Powered Clinical Research with BCRI

Join BCRI’s AI in Clinical Research Bootcamp and gain hands-on expertise in AI, Machine Learning, and NLP applications across Clinical Data Management (CDM) and Pharmacovigilance (PV).Learn how automation is transforming drug safety, medical coding, data cleaning, and signal detection – all in just 10 days of intensive training.

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Applied AI/ML for CDM & PV

Automate AE triage, coding & signal detection with supervised/unsupervised learning

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NLP for Safety Narratives

Tokenization, NER, MedDRA auto-coding & narrative summarization using spaCy/Med7

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Real Use-Case Simulation

Duplicate case detection, data cleaning/reconciliation & FAERS/EudraVigilance examples

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Tools & Libraries

Python, pandas, scikit-learn, spaCy, MedDRA Browser + exposure to Argus & VigiBase APIs

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Capstone & BCRI Certificate

End-to-end case study (AE intake → signals), BCRI certificate, resume & mock-interview support

What You Will Learn in BCRI’s AI in Clinical Research Course

Build future-ready skills in AI, ML & NLP with hands-on applications across Clinical Data Management (CDM) and Pharmacovigilance (PV)—from foundations to capstone

🧭 Foundations: AI/ML/NLP in Clinical Research

  • AI vs ML vs NLP — simple, industry-focused explanations
  • Where AI fits in the CR lifecycle (CDM, PV, RA)
  • Real examples: chatbots for AE intake, dropout prediction

🗂️ Clinical Data & PV Workflows

  • CRFs, EDC, lab data, safety reports (ICSRs, SAEs)
  • MedDRA & WHO-DD essentials for coding & review
  • End-to-end PV flow: case intake → assessment → reporting

📈 Machine Learning for Healthcare Use Cases

  • Supervised vs unsupervised; classification, regression, clustering
  • Training/validation, overfitting, model evaluation basics
  • Examples: AE seriousness classification, patient dropout risk

🧠 NLP for Safety Narratives & Coding

  • Tokenization, lemmatization, NER; embeddings in practice
  • Auto-coding verbatims to MedDRA; extract drugs/doses/AEs
  • Narrative drafting & summarization for QC-ready outputs

🛠️ Tools, Datasets & Hands-On Practice

  • Python, pandas, scikit-learn, spaCy/Med7; MedDRA Browser
  • Intro exposure to Argus/VigiBase & public safety datasets (FAERS/Eudra)
  • Exercises: duplicate detection, anomaly checks, reconciliation rules

🎓 Capstone, Portfolio & Career Readiness

  • Mini-project: AE intake → coding → signal detection pipeline
  • Documenting methods, metrics & compliance considerations
  • Roles & paths: Clinical Data Scientist, PV Automation Specialist, Safety Data Analyst; resume & mock interviews

Why Choose BCRI’s AI in Clinical Research Bootcamp?

BCRI’s first AI-powered certification gives you the AI advantage in Clinical Data Management and Pharmacovigilance – combining domain expertise with future-ready AI, ML, and NLP skills.

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First-of-its-Kind Program

India’s only 10-day bootcamp dedicated to AI/ML/NLP applications in Clinical Research, CDM, and Pharmacovigilance.

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AI-Driven Hands-On Learning

Work on real-world use cases — from AE coding with NLP to duplicate detection, data cleaning, and narrative automation.

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Expert-Led Sessions

Guidance from trainers with 10+ years of expertise in CROs, Pharma, and Safety Data Analytics — with practical AI insights.

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Career Growth with AI Edge

Resume workshops, interview prep, and placement assistance to secure roles like Clinical Data Scientist, PV Automation Analyst, and more.

Skills You Gain with AI in Clinical Research Course

Gain practical skills in AI, ML, and NLP applied to Clinical Data Management and Pharmacovigilance — from medical coding and narrative automation to signal detection, data cleaning, and safety analytics, making you future-ready for the AI era of clinical research.

🤖 Apply AI, ML, and NLP concepts in Clinical Research workflows
🧾 Perform AI-assisted medical coding with MedDRA
🧠 Use NLP for AE narrative generation and summarization
📊 Detect duplicate cases and drug safety signals using ML models
🧹 Improve data quality with AI-driven cleaning and reconciliation
🛠️ Work with tools: Python, spaCy, scikit-learn, Argus, MedDRA Browser
🎓 Build a capstone project portfolio to showcase AI skills in CDM & PV
Course Highlights - BCRI for AI Course in Clinical Research

Flexible Online Learning

Join from anywhere with 100% online, live interactive sessions designed for working professionals and full-time students interested in AI-powered Clinical Research.

In-App Recording Access

Revisit lectures anytime with 3-month access to recorded sessions via the BCRI Class app — never miss a concept in AI, ML, or NLP.

AI-Driven Curriculum

Master AI, ML, and NLP applications in Clinical Data Management and Pharmacovigilance — from medical coding and narrative generation to signal detection.

Hands-on Training

Work on real-world AI use cases such as duplicate case detection, data cleaning, and AE narrative automation to build job-ready skills.

Placement Assistance

We assist with resume building, mock interviews, and referrals to CROs, pharma companies, and AI-enabled healthcare analytics firms.

Expert Faculty

Learn from industry professionals with 10+ years’ experience in CROs, pharmacovigilance, and AI-driven clinical research.

AI/ML/NLP Curriculum - in Clinical Data Management & Pharmacovigilance

Our AI in Clinical Research Bootcamp is designed for students and professionals aiming to build a future-ready career in Clinical Data Management and Pharmacovigilance. From AI-driven medical coding and duplicate case detection to NLP-powered narrative generation and data quality automation, you’ll gain hands-on experience with tools and techniques transforming the industry — all through real-world case studies and assignment-based learning.

📘 Day 1: Introduction to AI, ML & NLP in Healthcare
- What is AI, ML, NLP? (simple definitions + analogies)
- Key differences and how they are changing healthcare
- Introduction to CDM & PV
- Use cases: chatbots for AE intake, predicting patient dropouts
🗂️ Day 2: Understanding Clinical Data & PV Workflows
- Types of clinical data: CRFs, EDC, lab data, AE reports
- Data flow in CDM
- PV basics: SAEs, ICSRs
- Introduction to MedDRA and WHO-DD
- Example: SAE to regulatory report workflow
📊 Day 3: Basics of Machine Learning with Healthcare Examples
- What is ML? Supervised vs Unsupervised learning
- Classification, Regression, Clustering
- Training vs Testing, Overfitting explained
- Examples: classify AEs as serious/non-serious, predict patient dropout
🧠 Day 4: NLP Concepts & Applications in PV/CDM
- Key concepts: tokenization, NER, lemmatization
- NLP in PV: extracting AEs, drugs, dosages
- Tools: spaCy, NLTK, Med7, cTAKES
- Examples: parsing AE narratives, auto-coding with MedDRA
🧾 Day 5: Automating Medical Coding in PV
- What is medical coding & why it matters
- How AI maps verbatim terms to MedDRA codes
- Tools: NLP + ML classifiers for MedDRA coding
- Example: “dizzy spell” → MedDRA LLT, automation with Argus/VigiFlow
🔍 Day 6: Duplicate Case Detection & Signal Detection
- Duplicate detection using ML (similarity, embeddings)
- Signal detection: disproportionality analysis + ML scoring
- AI in EudraVigilance & FAERS
- Example: AI flags rare AE trend
🛠️ Day 7: Data Cleaning & Reconciliation in CDM
- Common data issues: missing, outliers, inconsistencies
- ML for anomaly detection
- Rule-based vs ML-based data checks
- Example: reconciling EDC vs lab system data
✍️ Day 8: AE Narrative Generation with NLP
- Basics of narrative writing
- GPT-based models for auto-narrative generation
- Human-AI collaboration for QC
- Example: generate narrative from ICSR form, AI-assisted summarization
💻 Day 9: Tools & Platforms in the Industry
- SAS, Python, Argus, VigiBase, MedDRA Browser
- APIs for PV (e.g., VigiAccess)
- Python libraries: pandas, spaCy, sklearn
- Examples: open-source PV tools, AI plugins in Argus
🎓 Day 10: Capstone Case Study & Career Guidance
- Case study: AE intake → coding → signal detection
- Where AI fits into the PV/CDM pipeline
- Career roles: PV Analyst, Clinical Data Scientist, AI Specialist
- Resources: books, MOOCs, certifications

🎯 Career Opportunities After AI in Clinical Research Bootcamp

💼 Job Roles You Can Apply For

  • AI-Enabled Pharmacovigilance Analyst
  • Clinical Data Scientist
  • Safety Data Analyst (AI/NLP Tools)
  • PV Automation Specialist
  • Clinical Data Manager with AI Skills
  • Healthcare NLP Associate

🏢 Hiring Industries

  • Contract Research Organizations (CROs)
  • Pharma & Biotech Companies
  • Pharmacovigilance & Drug Safety Units
  • Healthcare AI & Analytics Firms
  • Technology Companies in Life Sciences

🌍 Work Locations

  • India: Bangalore, Hyderabad, Pune, Chennai
  • Global: USA, UK, Canada, Germany, Singapore
  • Remote Roles in AI-Powered Drug Safety
  • Hybrid Roles in Pharma IT & Data Science
  • AI Teams in Clinical Research Units & Sponsors
Global Career Opportunities & Future Prospects

📈 Rising Global Demand

  • AI adoption in Clinical Research, CDM & Pharmacovigilance is accelerating worldwide
  • Increased demand for AI-ready data managers and safety professionals
  • Global pharma & CROs actively hiring for AI-driven roles

🌐 International Career Paths

  • Clinical Data Scientist roles in USA, UK, Canada, Germany, Singapore
  • AI/ML Healthcare Analyst in top CROs & pharma companies
  • PV Automation Specialist in regulatory-focused markets (EU, US)
  • Remote & hybrid opportunities in global AI-healthcare projects

🚀 Future Prospects

  • Integration of AI & NLP in regulatory submissions and safety reporting
  • Expansion of real-world data (RWD) & real-world evidence (RWE) with AI
  • Career growth towards AI-PV Managers and Clinical AI Leaders
  • Opportunities to transition into healthcare data science & AI research

💰 Salary Trends: India vs USA (AI in Clinical Research)

RoleIndia (Average Range)USA (Average Range)
Pharmacovigilance Associate₹3.1 – 3.7 LPA
(city medians)
$104k – $117k avg
PV Associate ~$121k
Drug Safety Associate₹4.0 – 4.3 LPA
(Bangalore example)
Clinical Data Manager₹6.5 – 8.6 LPA$114k avg
Clinical Data Scientist₹8.6 LPA avg$150k avg
📌 AI Skill Premium: Roles listing AI skills earn ~23–30% higher salaries on average (and in some studies up to ~56%, depending on role & market).
Step Into the Future of Clinical Research with AI

Become part of the first wave of professionals skilled in AI, ML, and NLP for CDM & Pharmacovigilance. Whether you’re a fresher or an experienced professional, this bootcamp gives you the career edge to stay ahead in the evolving pharma & healthcare industry.

FAQs About Clinical SAS Course online

This course is ideal for Clinical Data Management (CDM) and Pharmacovigilance (PV) professionals looking to upskill with AI/ML/NLP, as well as life science graduates and freshers aspiring to build a future-ready career in clinical research.

It’s an AI in Clinical Research 10-day intensive bootcamp delivered online with live interactive sessions, supported by assignments, case studies, and recordings accessible through the BCRI Class app.

You will gain practical exposure to:

  • AI, ML, and NLP fundamentals for healthcare
  • Clinical data workflows in CDM & PV
  • Medical coding automation using MedDRA
  • Duplicate case detection & signal detection
  • AE narrative generation using NL
  • Tools like Python, spaCy, Argus, VigiBase, MedDRA Browser
  • Capstone project & career guidance

After completing this bootcamp, you can pursue roles such as:

  • AI-Enabled Pharmacovigilance Analyst
  • Clinical Data Scientist
  • Safety Data Analyst (AI/NLP)
  • PV Automation Specialist
  • Healthcare NLP Associate
  • Existing CDM/PV professionals can expect a 20–40% uplift in salaries by moving into AI-driven roles such as Clinical Data Scientist or Safety Analyst.
  • Freshers may target ₹5–8 LPA entry-level roles in healthcare data/AI compared to traditional PV fresher roles (~₹2–3 LPA).

Yes ✅ — participants receive a BCRI Certificate in AI in Clinical Research, recognized under our LSSSDC Training Partnership.

No prior coding experience is required. We start from basics, but familiarity with clinical research terms (CDM, PV, AE, MedDRA) is helpful. Coding exposure (Python) is taught at a beginner-friendly level.

Yes—this bootcamp can be taken standalone or as an add-on module within BCRI’s PG Diploma and Certification programs (CDM, PV, CRA/CRC).

Sample Certificate
PGDCR BCRI JPG -Bangalore Clinical Research Institute
Reviews From Our Happy Students
Creating Vibrant Career & Secured Future!
KEERTHANA
AS I BELONG to pharma background, I want to say thank you to BCRI with faculties who taught me SAS who gave me many opportunity to join as intern. I have missed few sessions, they gave new batch for better understanding, I thank Chaitanya Sir for the help, as intern though my salary is less, I am learning good, Thanks to BCRI, if you want core subject knowledge i will strongly recommend BCRI
Vamsi Krishna
I've recently enrolled with SAS Course in BCRI , It's been a great experience to move with them . Mr.Ajith was my trainer, the classes were informative and interactive, he covered the course Practical and Theoretical knowledge with real time examples which is easy to understand , before going on to the next day's session he interacts with us and clears us the queries . Very good experience with BCRI
Bhuvnesh Velipati
I took clinical research and data management, SAS training from BCRI. They have given excellent support and guidance, the classes which i missed too, gave clarification session. my cousin is doing PGDCR with them now, i strongly recommend BCRI.
Vaddireddy
Greetings! We had brilliant sessions with Chaitanya Sir on SAS. A very structured approach to sessions, practical scenario based training, interactive classes. He helped in resume and interview preparation. If you are searching for a perfect SAS training academy then opt BCRI. Thank you
Sai Ankit
Sai Ankit
I Had completed my PGDCR course successfully. Training was good in PV, CDM and SAS courses from the respective trainers. Also had a very good guidance, and interaction from the trainers in the journey of this course completion. Thank You for the support from the Trainers and Bangalore Clinical Research Institute(BCRI)!!
Shaik Saleema
First of all thanks to Bangalore Clinical Research Institute BCRI. It was my first experience with data analysis Course (SAS) in clinical research and its a good platform for beginners. It has lot of scope for growth, i joined as intern in Novartis, now i am learning even more. BCRI is very good in training.
🎓 What Our Students Say

Meet Aarthi P, a student of our Advanced Diploma in Clinical Research (ADCR) at BCRI. Even before completing the course, she landed a job at ICON PLC Clinical Research—a proud moment for her and for us!

In this short video, Aarthi shares how BCRI’s live online classes, practical training, and career support helped her achieve her dream job in the clinical research industry.

📢 Why Students Choose BCRI:

✔ Job-focused training with real-world projects
✔ Expert guidance from experienced faculty
✔ Internship and placement support that delivers results

Our Team would love to Guide you to select the right course here .

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📢 BCRI is now an LSSSDC Training Provider

BCRI is now an LSSSDC Training Provider

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