Brought to you by DataRobot logo
More Intelligent Healthcare

Making Data Science Bilingual

Najat Khan Headshot (2) Ari Kaplan
Najat Khan, Ari Kaplan
S2 E04 · February 15, 2022

Najat Khan thrives in her mission to solve the world’s most challenging health problems. With data science, AI, and machine learning, she endeavors to bring critical medicines to the public with efficiency, effectiveness, and inclusivity.

When COVID-19 hit, working for Janssen Global and with Johnson and Johnson, Khan set about constructing a team of more than 100 “bilingual” data scientists. Not only did they understand the language of data science, they also brought medical expertise like a PhD in neuroscience or a background in oncology.

Every single thing we do needs to be purpose driven. You can’t start with ‘I saw this really cool algorithm that was published. We should do something with it’. If you go after the shiny objects, it doesn’t work. You have to continually ask, ‘What’s the business problem we’re trying to solve?’ To me that is the critical foundation.”

With the business problem fully articulated, she embedded her team into every product, regulatory, clinical, and operational group tackling COVID-19. They worked “shoulder to shoulder” through every critical decision point along the vaccine building workflow.

To accelerate the process of identifying global hotspots and potential risks for vaccine trials, they partnered with MIT to build what would become one of the world’s largest machine learning programs. The resulting longitudinal dataset included socioeconomic, racial, and health data, with higher-than-census diversity and inclusiveness factors.

The hardest part was not just the technical aspect, but also the cultural change management. When a company has never used one of the biggest machine learning programs, and all of humanity is watching to see if it is successful, it takes a lot of guts, will, and fortitude to see it all the way through to measurable impact.”

Listen to this episode of More Intelligent Tomorrow, to learn:

  • How data science can help us to be better prepared for the next global health crisis
  • Where the life sciences research and industry is headed in the next 5, 10, and 50 years
  • How data science, AI, and machine learning can change health care

We can never say what we’re doing in data science today is enough. We need to constantly push boundaries.”

Speakers
Najat Khan Headshot (2)
Najat Khan
Chief Data Science Officer, Janssen R&D Data Sciences. Global Head, Janssen R&D Strategy and Operations, Janssen Research & Development, LLC
Ari Kaplan
Ari Kaplan
Global AI Evangelist
Better World/Better Business
AI Fails – Can AI Replace Doctors?
Read More
Tags: Artificial Intelligence COVID19 data science health Healthcare More Intelligent Healthcare More Intelligent Industries More Intelligent Tomorrow Season 2

Keep up with the latest news

Subscribe
You've successfully subscribed!






DataRobot is committed to protecting your privacy. You can find full details of how we use your information, and directions on opting out from our marketing emails, in our Privacy Policy.