Future AI/ML and Careers in Life Science2027 Career Roadmap
Industry-relevant skills mapped to real roles across bioinformatics, cheminformatics, AI in drug discovery and CRISPR — and exactly how to make the transition.
- A clear map from industry skills to the roles that hire for them
- Transition routes for wet-lab and IT/CS backgrounds
- How structured 3 / 6 / 12-month projects build real experience
Meet the BioTecNika CRO scientists
Mrs. Urmimala Ray
Academic Category Manager, BIO-IT at BioTecNika
Opens the session, explains why the right skillset decides placement in industry and research firms, and keeps the Q&A moving.
Dr. Nilofer Shaikh
BioTecNika CRO Scientist · AI/ML & Bioinformatics Specialist
Maps the AI-driven transformation of life sciences, the technical skills industry asks for, and the transition roadmap from wet lab or IT.
Mr. Prodyot Banerjee
BioTecNika CRO Scientist · CADD, Bioinformatics & Genomics Specialist
Covers AI in cheminformatics and drug discovery, the companies hiring for it, and how to build a portfolio that actually gets read.
What we'll cover in 60 minutes
Opening & welcome
Mrs. Urmimala Ray
- What this session is and who it is for
- Why the right skillset decides placement
- Speaker introductions
Careers in Bioinformatics, CRISPR & Multi-Omics
Dr. Nilofer Shaikh
- The AI-driven transformation of life sciences
- Bioinformatics, CRISPR and multi-omics overview
- Industry-ready skills: Python, R, statistics, Linux, NGS, AI
- Roles: analyst, computational biologist, genomics data scientist
- Applications across pharma and biotech
- Transition roadmap: wet lab → Python; IT/CS → biology
- Real projects with GEO, TCGA and public datasets
- Career growth and the BioTecNika pathway
Careers in AI Drug Discovery & Cheminformatics
Mr. Prodyot Banerjee
- A holistic overview of AI in cheminformatics
- A holistic overview of AI in drug discovery
- Technical skillsets each industry expects
- Top roles and how to gain relevant experience
- High-demand sectors and companies hiring now
- Job titles, job boards, networking and applying
- Relevant degrees, certifications and alternatives
- Portfolio building with GitHub and Kaggle
Live Q&A: ask the experts
All speakers
- Live audience questions
- Why long-term project work matters
- How 3 / 6 / 12-month projects bridge the skill gap
- BioTecNika courses and next steps
What to learn, and the job it leads to
Pick a career path below. Each one shows the skills you need to learn and the job titles companies actually hire for.
Bioinformatics & Genomics
AI / ML in Biology
Drug Discovery & Cheminformatics
CRISPR & Multi-Omics
Ready to start your AI/ML career in life science?
Register free for the webinar, then keep momentum with BioTecNika's project-based courses — built around the exact skills and roles covered on stage.