Data Science for Biologists Webinar Conducted By Biotecnika
Date- 27/02/2025
City- Bangalore
State – Karnataka, India
As biology and technology continue to merge, the demand for data scientists in the life sciences is skyrocketing. On February 27th, BioTecNika hosted an exclusive webinar on “Career Path to Becoming a Data Scientist in Biology,” bringing together experts in AI/ML and bioinformatics to guide aspiring professionals in this growing field.
The almost 2-hour online session streamed live on YouTube, featured in-depth discussions on the rising impact of data science in biological research, the essential skills required, and career pathways in the industry. The event began with a welcome by Ms. Diluxi and an introduction to the significance of data-driven approaches in modern biology.
Dr. Nilofer introduced key concepts and applications, followed by Mr. Indranil Seal, who outlined technical skills like Python, R, and machine learning. Mr. Prodyot discussed career opportunities, while Mr. Mallampalli Kapardi shared personal insights on entering the field.
The event concluded with valuable career guidance. Hosted by BioTecNika, this webinar provided a clear roadmap for those looking to bridge the gap between biology and data science.
The webinar featured a distinguished panel of speakers:
Dr. Nilofer K. Shaikh
Instructor | Computational Cancer Researcher
Dr. Nilofer K Shaikh led the insightful session, shedding light on the role of data science in biology and its growing impact in the field. She began by discussing the importance and rapid expansion of data science in biological research, emphasizing its transformative role in genomics, drug discovery, and healthcare analytics.
During the session, Dr. Shaikh explored real-world applications, showcasing how computational approaches are revolutionizing cancer research and personalized medicine. Attendees gained valuable insights into how AI, machine learning, and big data analytics are driving breakthroughs in biomedical sciences.
The session provided an insightful perspective on the future of data-driven innovations in biology, enhancing participants’ understanding of its impact on research and healthcare.
Indranil Seal
Senior Data Scientist – II | Eli Lilly & Co.
Indranil Seal delivered an engaging session highlighting the essential skills and knowledge required to excel in data science for biology. He outlined key technical skills, including programming in Python and R, machine learning, AI, and data visualization tools like Tableau and Matplotlib. Additionally, he introduced specialized biological data tools such as Bioconductor and BLAST.
Beyond technical expertise, Indranil emphasized the importance of domain knowledge in molecular biology, genetics, and bioinformatics, along with crucial soft skills like problem-solving, communication, and collaboration. He also guided attendees on valuable resources—from online courses to books and certifications—to build expertise in the field.
His session provided a comprehensive roadmap for aspiring professionals looking to bridge the gap between data science and biology, equipping them with the tools to succeed in this evolving domain
Prodyot Banerjee
Bioinformatics Scientist | BioTecNika
Mr. Prodyot delivered an insightful session on career pathways and opportunities in the intersection of data science and biology. He compared academic and industry roles, helping attendees understand the key differences and career trajectories in both sectors.
He outlined various job profiles, including Bioinformatician, Computational Biologist, and Data Scientist in Biotech, and highlighted the industries actively hiring, such as pharmaceutical companies, healthcare organizations, research institutions, and startups.
To help aspiring professionals build a strong career, Mr. Prodyot emphasized the importance of projects, internships, and certifications. He also stressed the value of networking and staying updated with industry trends to remain competitive in this rapidly evolving field.
The session offered valuable guidance for individuals seeking to enter or advance their careers in bioinformatics and data-driven life sciences.
Mallampalli Kapardi
Senior Machine Learning Engineer | Ph.D. Researcher, IIT Hyderabad
Mallampalli Kapardi captivated attendees with a personal account of his journey into data science in biology, offering a firsthand perspective on breaking into the field. He shared the challenges he encountered, from mastering technical skills to navigating interdisciplinary research, and provided strategies to overcome them.
Discussing the future prospects of data science in biology, he highlighted emerging opportunities in AI-driven healthcare, computational biology, and biomedical research. His session also included valuable advice for aspiring professionals, emphasizing the importance of continuous learning, hands-on experience, and networking.
Through his insights, Mallampalli inspired attendees, providing a real-world perspective on building a successful career in this rapidly evolving field.
.Key Insights from the Webinar:
- AI is a game-changer: AI is revolutionizing drug discovery, diagnostics, and personalized medicine, leading to faster and more accurate research breakthroughs.
- Data-Driven Insights: AI algorithms analyze vast biological datasets to uncover patterns and insights beyond human capability.
- Improved Efficiency & Accuracy: AI automates research processes, increasing precision and allowing researchers to focus on innovation.
- The Future is Personalized Medicine: AI enables tailored treatments based on an individual’s genetic and medical profile, leading to better outcomes.
Data Science for Biologists Webinar Conducted By Biotecnika
Esteemed Speakers
Indranil Seal
Senior Data Scientist – II | Eli Lilly & Co. | Data Science & Analytics (R&D)
With 6.5+ years in Data Science, Machine Learning, and AI, Indranil Seal specializes in pharmaceutical and healthcare analytics. As a Senior Data Scientist – II at Eli Lilly & Co., he leverages advanced analytics to drive innovation and strategic decision-making.
Holding an M.Sc. in Applied Statistics, he has worked across FMCG, Retail, and Manufacturing, transforming data into actionable insights.
Mallampalli Kapardi
Senior Machine Learning Engineer | Ph.D. Researcher, IIT Hyderabad
Mallampalli Kapardi is a Senior Machine Learning Engineer at pi-labs.ai and a Ph.D. researcher at IIT Hyderabad, specializing in AI-driven biomedical simulations. His research focuses on virtual upper limb modeling for spinal cord neural control and musculoskeletal dynamics. With expertise in machine learning, theoretical neuroscience, and cloud-based analytics, he has led AI-driven solutions in healthcare and engineering.
About BioTecNika
With 18+ years of expertise, BioTecNika is India’s No.1 biosciences platform, connecting 4.5M+ professionals worldwide. We specialize in education, recruitment, and talent development for the biotech and pharma industries, helping individuals and organizations stay ahead in the ever-evolving world of life sciences. At BioTecNika, we are committed to empowering careers, fostering innovation, and shaping the future of biosciences. Now that we have conducted the Data Science for Biologists Webinar, look out for more such informative sessions.
Great webinar! I learned a lot about how data science can be applied in biology. Looking forward to more sessions like this!
This webinar was really insightful! I learned a lot about how data science can be applied in biology. Looking forward to more sessions like this!
This webinar was really insightful! I learned a lot about how data science can be applied in biology. Looking forward to more sessions like this!