Interview with Benjamin Chiêm: Discover the “Data Science in Life Science” Program at the EU Biotech Campus

We had the pleasure of interviewing Benjamin Chiêm, one of the trainers for the inaugural “Life Science in Data Science” program offered by the EU Biotech Campus. Learn about his background and the goals of this innovative training course.

Benjamin Chiem, trainer for EUBC

Hello Benjamin, thank you for accepting our invitation. Could you please introduce yourself briefly?

Hi, I’m Benjamin Chiêm, an applied mathematics engineer. I quickly steered my career towards the biomedical sector, completing my thesis using neuroimaging methods, network science, machine learning, systems theory, and applied mathematics to study the human brain. After my thesis, I worked for Diagenode as a bioinformatician before joining Euranova, a consulting company dedicated to data science and AI.

How did you come to be involved in this program, and what is your exact role?

For over 15 years, Euranova has stood out for its expertise in guiding the digital transformations of major companies as well as younger players. This reputation led us to be approached to deliver this program. Our solid experience in biotechnology, such as our collaboration with the Carnot Calym Institute to develop data models aiding in PET scan interpretation, naturally positioned us as a partner for this program.

Personally, I lead a hands-on workshop where learners must solve a concrete situation facing a fictitious client I portray, requiring the mobilization of a team of data scientists.

What are the main skills participants can acquire during this training?

This introductory course primarily aims to familiarize learners with the jargon of data science. We cover the utility of data, its cost, and the various programming languages suited to different uses. The goal is to make participants comfortable with these concepts before diving deeper into the technical aspects.

Are there any prerequisites for this course?

No, there are no prerequisites needed to take this course.

Who is this training aimed at?

This training is designed for life sciences professionals, particularly those working in the biopharmaceutical and biotechnological sectors.

How is this training beneficial for participants and their companies? Is it immediately applicable?

Absolutely. Participant feedback shows that they feel more comfortable with the terminology used and better understand the use of data in their sector. The application is immediate as data is ubiquitous and indispensable.

Do you think the interest in this type of training will continue to grow?

Yes, without a doubt. Data may seem abstract and intimidating to some, but it is very intuitive. Once professionals get started, they realize how beneficial it can be for their careers. Additionally, since this field evolves rapidly, regular training is crucial.

What advice would you give in the face of the rapid evolution of data use?

Staying up to date is essential. We offer tailored tools, but you need to attend our training to master them. We also integrate concrete cases and current technologies, such as the use of ChatGPT, in our courses.

What motivates you to teach this program and work with life sciences professionals?

I have always enjoyed sharing my knowledge. I have been teaching since my Ph.D., and it’s something I really like. My interest in the biomedical field is also familial, with several relatives working in this sector. I believe it is a field where you can have a significant impact and help people.

What advice would you give to someone considering this program?

Don’t hesitate to get started. Data is a key topic in many professions, and the Biotech sector is no exception. This training meets an urgent need and is quickly applicable in your professional field.

Thank you, Benjamin, for this insightful interview. We also thank all participants and speakers, as well as our partners Helsci and Co-Valent, for co-constructing this program. Stay tuned to discover our new programs.