Dr. Enayet Rahim is a data science leader and statistician with over 20 years of experience. After earning his Bachelor’s and Master’s degrees in Statistics from the University of Dhaka, he pursued higher education in Canada, completing a Master’s at McMaster University and a PhD at the University of Windsor.
He is currently based in Chadds Ford, Pennsylvania, USA, where he serves as Senior Director at Incyte, leading clinical trial and healthcare data analysis, and developing AI-based solutions. He has also held roles as Chief Data Scientist or Senior Data Scientist at organizations such as Phastar, ConcertAI, Cigna, and Atrium Health.
Dr. Rahim’s research interests include clinical trials, real-world data (RWD), predictive modeling, causal inference, machine learning, and biomedical statistics. Through research and teaching, he is innovating and implementing new data analytics methods that contribute significantly to healthcare improvement. Proficient in both English and Bangla, Dr. Rahim is active on the international stage.
💬 Q&A Session:
Question: Please introduce yourself.
Answer: I am Dr. Enayet Rahim. I have over 20 years of professional experience in data analytics and statistical research. Currently, I am working at Incyte as Senior Director, focusing on analytics in clinical trials and healthcare data.
Question: What is Artificial Intelligence (AI)?
Answer: AI is a technology that enables computers to think, analyze, and make decisions like humans. It identifies patterns in data and solves complex problems.
Question: How is AI used in daily life and healthcare?
Answer: In daily life, AI is used in smartphones, virtual assistants, and recommendation systems. In healthcare, AI aids in disease diagnosis, treatment planning, and improving healthcare delivery.
Question: Can you give examples of organizations working with AI and their use cases?
Answer: For instance, IBM Watson offers disease diagnosis and treatment suggestions, and Google Health AI enhances diagnostic accuracy. At Phastar and ConcertAI, we use clinical trial data to develop predictive models. This technology contributes significantly to healthcare.
🔗 Profile Links:
Dr. Enayet Rahim’s LinkedIn Profile
Dr. Enayet Rahim’s Personal Website
Dr. Enayet Rahim’s work has elevated the use of AI and data science in healthcare to new heights. His research, teaching, and innovative projects are making a significant contribution to the advancement of healthcare. The Biggani.org team expresses gratitude for Dr. Rahim’s contributions and wishes him every success in his future research and innovations.
Transforming Clinical Trials Through AI – Insights from Dr. Enayet Rahim
Dr. Enayet Rahim is a data science leader and statistician with over 20 years of professional experience in healthcare analytics, clinical research, and data science. He holds a PhD in Statistics from the University of Windsor, a Master’s degree from McMaster University, and an MSc in Applied Statistics from the University of Dhaka.
Currently, Dr. Rahim serves as Senior Director at Incyte in Chadds Ford, Pennsylvania, leading advanced analytics initiatives for clinical trials using statistical, machine learning, and AI techniques. Over his career, he has held senior data science roles at ConcertAI, Phastar, Cigna, and Atrium Health, in addition to academic positions as an assistant professor and adjunct faculty in North America.
His expertise spans clinical trials, real-world data (RWD), real-world evidence (RWE), predictive modeling, causal inference, and biomedical statistics. Dr. Rahim has contributed to over 20 peer-reviewed publications in high-impact journals, including The Lancet and PLOS One. Fluent in English and Bangla, he combines rigorous statistical methods with practical applications to improve healthcare decision-making and patient outcomes.
💬 Q&A Session:
Q: Could you introduce yourself?
A: I am Dr. Enayet Rahim, a data science professional with more than 20 years of experience in analytics. Currently, I serve as Senior Director at Incyte, leading analytics for clinical trials and healthcare data initiatives.
Q: What is Artificial Intelligence (AI)?
A: AI is a technology that enables computers to mimic human thinking, analysis, and decision-making. It works by identifying patterns in data and solving complex problems.
Q: How is AI applied in daily life and healthcare?
A: In everyday life, AI is used in smartphones, virtual assistants, and recommendation systems. In healthcare, AI helps with disease diagnosis, treatment planning, and optimizing healthcare delivery.
Q: Can you give examples of organizations working with AI and their use cases?
A: IBM Watson provides disease diagnosis and treatment recommendations, while Google Health AI improves diagnostic accuracy. Companies like Phastar and ConcertAI leverage clinical trial data to develop predictive models and real-world evidence, supporting better patient outcomes and healthcare decision-making.
🔗 Profile Links:
LinkedIn: Dr. Enayet Rahim
Personal Website: Dr. Enayet Rahim
Dr. Enayet Rahim’s work bridges advanced analytics, AI, and clinical research, helping transform healthcare through data-driven solutions. His leadership in clinical trials, real-world evidence, and predictive modeling sets a benchmark for healthcare innovation. The biggani.org team appreciates his contributions and extends best wishes for continued success in his research and global impact.
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