AI & ML Career – Explore the top careers of drug discovery
date: July 25th, 2025
time: 7pm – 8pm
Biotecnika, India's leading Biosciences training platform, successfully hosted a webinar entitled “Dynamic and Career-centric Webinar.” “Top Careers of AI & ML-Driven Drug Discovery – “How to Get Started in 2025”.
The 60-minute session, hosted by Mrs. Urmimara, explored the booming intersection of artificial intelligence and drug discovery. The webinar, featuring three domain experts, Dr. Neeraj, Tshar Diani and Prodiot, provided clear career pathways, technical skills guidance and practical tips for anyone looking to enter this shocking field.
Speaker spotlight
Dr. Neeraj Kumar – Computational Biologist and Bioinformatics Scientist at Biotecnika
Dr. Neeraj has started an expert session with a deep dive into the rapidly growing employment ecosystem, focusing on AI-powered drug development.
He outlined the key sectors that hired employment in 2025.
- Big Pharma (e.g. Pfizer, Novartis)
- AI First Biotechnology Startups (e.g. Recursion, Insitro)
- Bio-It companies (e.g. Schrodinger, Agnita)
- CROS and research institutes
Popular duties include:
AI research scientist, bioinformatics analyst, molecular modeling expert, clinical data scientist, and the new “AI Drug Hunter.”
He also shared a competitive salary benchmark. It ranges from 12-25 LPAs in India to $85,000 to $150,000 worldwide, highlighting remote opportunities through decentralisation.
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Tushar Dhyani – Senior Bioinformatics Scientist, Eluciodata
Tushar Dhyani has presented a practical roadmap for learners from both biology and technology backgrounds.
Important takeaways include:
- Core technical skills: Python, R, Pytorch, Gnns, Bash
- Domain knowledge: Disease biology, molecular chemistry, and pathway mapping
- Data Skills: Uses genomics, EHR, and molecular graph structures
He emphasized the importance of building real-world projects, maintaining the GitHub portfolio and pursuing certifications such as AWS ML Specialty, Google Tensorflow Developer, and Biotecnika's advanced AI courses.
Soft skills such as interdisciplinary communication and problem solving were also highlighted as important differentiators.
Prodyot Banerjee Bioinformatics Scientist | Biotecnika
Prodyot provided practical sessions tailored for students, fresh people and career switchers.
For the students, he suggested to explore:
- Internships in Nvidia Clara Health, Genentech, or NIH programs
- Laboratory labs at research institutes such as MIT and Broad Institute
For experts, he recommended:
- Internal movement or migration via bootcamp (e.g., health of insight data)
- Participating in Kaggle's assignments Action Prediction Mechanism
- Contributes to open source platforms like Deepchem
- Attend meetings such as Neurips ML for Health
- Job search using terms such as “AI Drig Discovery Associate” from Biotecnika's portal, Biospace, and Nature Careers
He emphasized reliability through collaboration with Wet-Lab researchers to test AI models.
Webinar Results: What participants gained
Participants left the session as follows:
- A clear understanding of AI career options in drug discovery
- Detailed skill roadmap for entering the field
- Portfolio construction strategies that stand out in recruitment applications
- Exposure to global internships and employment opportunities
- Live Q&A insights on recruitment trends, certifications required, and transition strategies
About the speaker
Dr. Neeraj Kumar – Computational Biologist and Bioinformatics Scientist at Biotecnika
Dr. Neeraj Kumar is a computational biologist and bioinformatics with deep expertise in AI-driven drug discovery, chemoforinformatics and structural bioinformatics. He holds a PhD. It features research focused on machine learning for virtual screening and drug relocation from CSIR-IHBT & ACSIR. The former postdoctoral researcher at Penn State University has worked on immunoglobulin analysis and advanced molecular modeling tools such as Alphafold and Gromacs. His work is featured in the Top Journals, supporting innovation in HIV Drig Discovery and AI-guided pipelines. He is currently contributing to Biotecnika's Bioit division.
Tushar Dhyani – Senior Bioinformatics Scientist, Eluciodata
Tushar Dhyani is a senior bioinformatics scientist at Elucidata and leads genomic data analysis and pipeline development projects. He specializes in single-cell RNA-SEQ and multiomics, providing ML-enabled insights that drive research and business outcomes. His research contributes to leading cost-saving solutions for cancer diagnosis and enterprise genomics. As a continuous learner, Tushar blends bioinformatics and data engineering to create scalable and impactful solutions.
Prodyot Banerjee Bioinformatics Scientist | Biotecnika
Prodyot Banerjee is a bioinformatics scientist at Biotecnika and has expertise in the intersection of biology and data science. In his sessions, he explores career paths in academia and industry, highlighting the roles of bioinformatics, computational biologists, data scientists and more. He emphasizes the value of practical experience through projects, internships and accreditations, while also highlighting the importance of staying up to date with networking and industry trends. His speeches provide practical guidance to anyone looking to build or advance a career in bioinformatics.
What's next?
Biotecnika encourages all life science professionals, students and researchers to take the next step in their AI career journey.
Currently, Biotecnika's upcoming flagship course, “Ai & ML in Drug Discovery,” is open for registration from July 31, 2025.
“This isn't just the future. It's already happening. Let AI strengthen your drug discovery career,” the Biotecnika team said.
About Biotecnika
Biotecnika is India's top bioscience education platform, offering job-oriented training in bioinformatics, clinical research, drug discovery and more. By combining professional mentorship with a real curriculum, Biotecnika prepares students and experts to lead the rapidly evolving biotechnology landscape.
