FREE WEBINAR – How to Become a Scientist in AI ML & Drug Discovery – Get Hired at Top Companies – REGISTER NOW

How to Become a Scientist in AI ML & Drug Discovery? – FREE Webinar

Artificial intelligence (AI) and machine learning (ML) are no longer optional in biology and drug discovery; they are quickly becoming the building blocks of modern scientific practice.

AI-driven approaches are transforming our ability to discover and develop drugs. From predicting protein structures to designing molecules and providing clinical insights, AI is revolutionizing all aspects of drug discovery and development. Due to this transformation, there has been a significant increase in the demand for individuals to work at the intersection of biology, chemistry, and machine learning.

However, many students and professionals lack clarity on how to break into this field, what skills they should develop, and how to position themselves for the best jobs available in the field of AI-ML applications for biology and drug discovery.

The goal of this live, free webinar is to provide you with a clear, structured, and actionable roadmap to develop your career in AI-ML for biology and drug discovery – regardless of whether you have a life sciences or engineering background.

Register Now

Webinar Details

Why This Webinar Matters?

Today, AI – ML roles in biology and drug discovery are the fastest-growing careers.  More than 300 biotech and pharmaceutical companies have active AI divisions and are continuously hiring.

Despite this demand, many candidates struggle because they:

• Do not understand the difference between roles such as computational scientist and ML engineer
• Focus on outdated or incomplete skill sets
• Lack clarity on how to transition from their current background
• Do not know how to build a profile that attracts recruiters

This webinar is designed as a practical, actionable session that addresses these exact gaps.

What You Will Gain?

By attending this webinar, you will:

• Understand the current industry landscape and hiring trends in AI-driven drug discovery
• Learn about the two primary career tracks:
  • Track A: Research / Computational Scientist
  • Track B: ML / AI Engineer
• Gain clarity on the exact technical and domain skills required for each track
• Learn how top companies evaluate candidates and what their job descriptions actually demand
• Understand how to build a strong, job-ready profile with projects and practical exposure
• Get a step-by-step roadmap to transition into this field from your current background
• Learn how to strategically target companies instead of applying randomly
• Participate in a live Q&A session to get your specific doubts clarified

Who Should Attend?

This webinar is designed for individuals who want to build or transition into a career in AI-ML applied to biology and drug discovery.

It is especially relevant for:

• Undergraduate and postgraduate students in Life Sciences, Biotechnology, Biochemistry, Microbiology, Pharmacy, and related fields
• Engineering students (Computer Science, AI, Data Science) interested in applying their skills to biology
• Working professionals in pharma, biotech, and healthcare industries
• Researchers and PhD scholars exploring non-academic or industry roles
• Data science and AI professionals who want to enter the life sciences domain

Webinar Structure

The webinar is structured into three focused expert sessions, each lasting 15 minutes, followed by a live Q&A and closing discussion.

Opening & Welcome (5 Minutes)

Host: Mrs. Urmimala

• Welcome note and introduction
• Why AI-ML in biology is a high-growth field right now
• Overview of industry demand and opportunities
• Introduction to the two career tracks:
  • Scientist track
  • ML Engineer track
• Agenda overview and speaker introduction

Session 1 (15 Minutes)

The Landscape – Companies, Roles, and What They Actually Look For?

Speaker: Dr. Neeraj

This session provides a realistic view of the industry and hiring ecosystem. The Company Landscape, Overview of leading organizations working at the intersection of AI and drug discovery and What Recruiters Actually Look For?

Career Tracks Explained 

• Track A – Research / Computational Scientist Roles
• Track B – ML / AI Engineer Roles
  

Join us for the webinar LIVE to know about each job role in detail.

Register now to secure your place.

Session 2 

The Skill Blueprint – What You Must Build to Get Hired?

Speaker: Dr. Mrityunjay Singh (Principal Scientist, Lofty Laboratories)

This session focuses on the exact skill stack required to become job-ready.

Core Foundations, Scientist Specialization Areas, ML Engineer Specialization Areas

Key Differentiator

One of the most overlooked yet critical skills is scientific communication—the ability to translate complex models and results into clear, understandable insights for cross-functional teams. This will be coveted in the webinar. 

Session 3 

The Job Roadmap – Step-by-Step Strategy to Get Hired

Speaker: Dr. Bhupender

This session provides a practical execution plan.

Step 1: Assess Your Starting Point

Step 2: Build One End-to-End Project

Step 3: Make Your Work Visible

Step 4: Engage with the Scientific Community

Step 5: Apply Strategically

Each of the above steps will be explained in detail in the webinar. Starting from how to begin, how to build your project & portfolio, eventually apply for jobs & get placed.

Live Q&A and Closing

• Summary of key takeaways
• Guidance on next steps
• Open Q&A session with all speakers

What Happens After the Webinar?

Participants will gain clarity on:

• Which career track suits their background
• What skills do they need to build next
• How to position themselves for opportunities in top companies

Additional details about advanced training and career support programs will also be shared during the session.

Reserve Your Spot

Seats are limited, and participation is free.

• Date: 14th April 2026
• Time: 7:00 PM – 8:00 PM IST
• Mode: Google Meet

Register now to secure your place.

Contact

For queries, contact: [email protected]

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