Welcome to episode 464 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Mike Salem, Associate Director of Data Science at Gilead Sciences. Founded in 1987, Gilead set bold ambitions to create a healthier world for all people. From their pioneering virology medicines to their growing impact in oncology, they are delivering innovations once thought impossible in medicine. Their focus goes beyond medicines as they also strive to remedy health inequities and break down barriers to care. Gilead empower their people to tackle these challenges and they are all united in their commitment to help millions of people live healthier lives.

Mike is an experienced Data Scientist & Mathematician with over ten years of experience utilizing Artificial Intelligence to solve unique problems across multiple domains including robotics, sensors and IoT. He has a demonstrated ability working with large, unstructured and messy data sets, responsible for architecting, building and maintaining automated pipelines. Mike is also a strong technical lead that mentors co-workers by building skills with a demonstrated history of identifying, defining and solving hard, ambiguous problems.

In the episode, Mike will discuss:

Gilead’s work in medicine and drug discovery

His role and responsibilities at Gilead

Their approach to solving problems using AI and Data Science

Two key areas the Data Science team focus on

What excites him for the future

Why Gilead is a great place to work

To find out more about all the great work happening at Gilead Sciences, check out the website www.gilead.com or follow them on LinkedIn, Instagram and X @GileadSciences. You can also connect with Mike directly on LinkedIn.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: