FREE Webinar: Career Path to Becoming a Data Scientist in Biology #webinar #latest #datascience

Are you interested in the intersection of biology and data science? With the rise of AI, big data, and computational biology, Data Science has become an essential skill in modern biological research. This webinar will guide aspiring professionals through the career path, essential skills, and opportunities in this rapidly growing field.

What to Expect?

???? Introduction to Data Science in Biology – Importance, key concepts, and real-world applications
???? Essential Skills & Tools – Programming, statistics, machine learning, and bioinformatics resources
???? Career Pathways & Job Opportunities – Industry vs academia, hiring sectors, and profile-building strategies
???? Expert Insights & Real-world Experiences – Learn from industry professionals about challenges and future prospects
???? Live Q&A Session – Get your questions answered by experts

Whether you are a student, researcher, or professional looking to transition into bio-data science, this session will provide valuable insights and guidance.

Don’t miss this opportunity to explore one of the most exciting career paths in biology!

Date: 27th FEB
Duration: 75 minutes Approx
Speakers: AI/ML & Bioinformatics Experts


???? Speaker 1: Dr. Nilofer: Introduction and Overview of Data Science (10 min)
???? Overview & Key Concepts
Why Data Science in Biology?
Importance and growth of the field
Real-world applications (e.g., genomics, drug discovery, healthcare analytics)

????Speaker 2 - Indranil Seal: Skills and Knowledge Required (15 min) (External Speaker)
Technical Skills:
Programming (Python, R)
Statistics, Machine Learning, and AI
Data Visualization (Tableau, Matplotlib, etc.)
Tools for Biological Data (Bioconductor, BLAST, etc.)
Domain Knowledge:
Basics of Molecular Biology, Genetics, and Bioinformatics
Soft Skills:
Problem-solving, Communication, and Collaboration
Resources to Learn:
Online courses, books, and certifications

???? Speaker 3 - Mr.Prodyot: Career Pathways and Opportunities (15 min)
Academic vs Industry Roles
Job Profiles:
Bioinformatician, Computational Biologist, Data Scientist in Biotech, etc.
Industries Hiring:
Pharma, Healthcare, Research Institutions, Startups
How to Build a Strong Profile:
Projects, internships, and certifications
Networking and staying updated with trends

???? Speaker 4 - Mallampalli Kapardi - External Speaker Insights (15 min)
Guest speaker shares their personal journey into Data Science in Biology
Challenges faced and how to overcome them
Future prospects in the field
Advice for aspiring professional
???? Closing & Q&A (10 min) – Moderator
Quick summary of key takeaways
Open Q&A session with the audience