Job Description

Master AI-Driven Product Management: From Pharma Expert to Product Innovator

Bridge the gap between your domain expertise and digital leadership. BioPatrika presents an intensive two-day course designed specifically for pharma and biopharma professionals to translate their scientific knowledge into impactful product decisions without requiring technical coding skills.

🚀 The Course: AI Product Build Sprint

Learn to use the “Idea to Thin Slice MVP” framework to identify unmet clinical needs and build functional digital prototypes using modern AI tools.

• Dates: May 16–17, 2026
• Time: 5:00 PM – 7:00 PM IST
• Registration Fee: Rs 500
• Mode: Online

🛠️ What You Will Learn

Day 1: Problem Validation & Strategy

• Jobs-To-Be-Done (JTBD): Define the core functional and emotional problems your product must solve.
• AI Triage: Use tools like GPT and Claude to cluster customer pain points and rank them by severity.
• Thin Slice Definition: Define the smallest possible end-to-end working loop to validate your idea rapidly.
• AI-First PRD: Generate high-quality Product Requirements Documents and test sets using AI-powered tools.

Day 2: Vibe Coding & Rapid Execution

• Vibe Coding: Set up an AI coding partner environment to build the functional core of your product.
• No-Code Prototyping: Use Figma AI and v0 to quickly sketch UI variants and front-end components.
• MVE Experimentation: Ship a Minimum Viable Experiment (MVE) and track key metrics like “Activation” and “Re-hire rate”.
• The Product Pitch: Learn the SCR (Situation, Complication, Resolution) framework to present your solution to stakeholders.

👨‍🏫 Meet Your Instructor

Dr. Gnaneshwer Jadav

AI Product & Project Manager

Dr. Jadav is a specialist in building intelligent, scalable systems at the intersection of healthcare, education, and artificial intelligence. With a PhD in Immunology and an MBA in Healthcare Management, he possesses the unique ability to translate complex technical and scientific concepts into practical, high-impact solutions.

• Proven Experience: He has led the development of 60+ AI-driven products across clinical intelligence, predictive healthcare, and workflow automation.
• Scaling Expertise: A strong focus on taking ideas from 0→1→scale, with deep knowledge of AI/LLMs and healthcare interoperability (FHIR).
• Industry Leadership: Founder and Chief Product Officer of Akeno Health, building next-generation predictive healthcare platforms using digital twins and real-time data.
• Innovator: Designer of Delivery Intelligence (Build Copilot), an AI-powered platform that connects strategy with real-time product development insights.

🌟 Why This Course?

• AI-Augmented Workflow: Master a tool stack including Lovable, Open Router, Supabase, and Helicone to drive innovation.
• Practical Frameworks: Get hands-on experience with the Problem Statement Canvas (PSC) and CATWOE skeleton.
• Domain Focus: Specifically tailored for the pharma and life-sciences value chain.

[Register Now for Rs 500]

Empower your career. Build the future of healthcare.

This Product Management course helps pharma and biopharma professionals translate their domain expertise into impactful digital and product decisions. It equips them with practical frameworks to identify unmet clinical and business needs, prioritize solutions, and work effectively with cross‑functional teams. By using AI tools instead of technical skills, participants can drive innovation, efficiency, and patient‑centric products across the pharma and life‑sciences value chain.

This course is specifically designed to empower pharma and biopharma professionals by bridging the gap between scientific knowledge and digital product execution. Here is why it is particularly valuable for this sector:

Bridging the Domain-Digital Gap

• Expertise Translation: It helps professionals translate their deep domain expertise into impactful digital and product decisions.
• Framework-Driven Strategy: It provides practical frameworks to identify and prioritize unmet clinical and business needs.
• Cross-Functional Leadership: It equips participants to work effectively with cross-functional teams by using standardized product documentation like AI-First PRDs.

Removing Technical Barriers

• AI vs. Coding: Instead of requiring years of technical training, the course teaches participants to use AI tools to drive innovation and efficiency.
• “Vibe Coding”: Professionals can build the functional core of a prototype using AI pair-programming and code generation tools without writing manual code.
• Rapid Prototyping: The “Thin Slice” MVP approach allows for the development of the smallest possible end-to-end working loop to validate a clinical solution quickly.

Industry-Specific Impact

• Patient-Centricity: The focus remains on driving patient-centric products across the entire pharma and life-sciences value chain.
• Validated Learning: Rather than just shipping a feature, the course emphasizes a measurement and decision loop to ensure the final output is a validated learning.
• Modern Tool Stack: It introduces an end-to-end AI/tool stack—including tools like Figma AI, Claude, and Helicone—optimized for the AI-augmented product leader workflow.

By focusing on high-impact solutions and operational efficiency at scale, this program ensures that life sciences expertise is not lost in translation when moving into the digital and product space.