Medical Research Fellowship

Fellowship in AI-Based Drug Discovery & Precision Medicine

An advanced research-oriented fellowship introducing drug-discovery workflows, pharmacology concepts, bioinformatics, molecular data, machine learning and precision medicine. It is designed for learners interested in pharmaceutical, biotechnology and computational research pathways

APPLICATIONS OPEN

Programme Code MRFO-FEL-YIPHPP11

Duration 12 Months

Current Intake January-2027

Batch 1

Ready to Apply?

Start your fellowship application securely through the MRFO Student Portal.

Applications are currently open

Application Fee ₹2,100.00

The application fee is fully refundable and will be refunded after successful completion of the fellowship course, as per the applicable refund process.

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Fellowship Overview

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Expert-led research seminars, molecular-data demonstrations, computational exercises and supervised capstone mentoring using public/sample datasets. The programme is educational/research-focused and does not authorise clinical prescribing.

Programme Details

Key academic and delivery details of this fellowship

Programme Fellowship

Duration 12 Months

Learning Mode Online

Minimum Qualification 12th Pass /Graduate/ MBBS/BDS/BAMS/BHMS/BPT/Nursing/Pharmacy and relevant healthcare professionals

Assessment CBT – Class XII NCERT based

Training Hospital Training – 4 Weeks (Optional)

Entrance Assessment

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CBT – Class XII NCERT based

Scholarship After Entrance Exam

Scholarship eligibility linked to successful completion of the CBT entrance examination

Entrance Exam Based Scholarship

Students who successfully pass the fellowship CBT entrance examination may become eligible for the scholarship amount configured for this programme.

Scholarship Amount ₹120,000.00

Appear in CBT

Complete the fellowship entrance assessment based on the Class XII NCERT syllabus.

Pass the Entrance Exam

Students who meet the qualifying requirement of the CBT can proceed for scholarship consideration.

Scholarship Eligibility

After the result is verified, the eligible student can receive the scholarship benefit for the fellowship.

Eligibility

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12th Pass /Graduate/ MBBS/BDS/BAMS/BHMS/BPT/Nursing/Pharmacy and relevant healthcare professionals

Duration

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Fellowship Duration 12 Months

Current Intake

Details of the current intake for this fellowship programme

January-2027

Available

Academic Year 2026-27

Programme Starts 01 Jan 2027

Applications Open 08 Oct 2026

Last Date to Apply 31 Dec 2026

Total Seats 650

Batch Status Available

Curriculum Highlights

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• Explain major stages of modern drug discovery. • Understand molecular and biological datasets. • Use introductory Python and ML for research workflows. • Explain AI applications in drug discovery and precision medicine. • Develop a computational drug-discovery/precision-medicine capstone.

Programme Curriculum

Structured learning modules and topics

Drug Discovery Fundamentals

Pharmacology Basics

Molecular Biology

Bioinformatics

Molecular Databases

Python

Machine Learning

AI in Drug Discovery

Molecular Modelling

Precision Medicine

AI Drug Discovery Project

Capstone, Viva & Assessment

Internship

Practical exposure and hands-on experience

MRFO provides 3-month internship opportunities at partner hospitals and healthcare institutions across India and internationally, offering interns practical exposure to real-world healthcare, clinical and research environments under appropriate professional supervision.

Placement Support

Career guidance and placement assistance

MRFO provides placement support through its partner hospitals, healthcare organisations and industry network across India and internationally. Eligible and successfully certified candidates may be connected with relevant job opportunities, interviews and career placements based on their qualification, skills, performance and available opportunities.

Prospectus & Documents

View official fellowship documents

Prospectus

Course Details.pdf

prospectus

NATIONAL SCHOLARSHIP ELIGIBILITY TEST (MSET)

MRFO Schollership Syllabus 2026.pdf

syllabus