Skip to main content
Screenshot 2025 03 13 At 3.04.19 PM

Meet a West Coast data scientist (and R&D innovator) at J&J

Five years after finishing grad school, Kristopher Standish, Ph. D., is applying his unique skill set to improve the lives of patients everywhere. This is his story. 

How do you become a data scientist at Johnson & Johnson?

Kristopher Standish

There are as many answers to that question as there are stars in the cosmos, but Kristopher's own journey came together as he was wrapping up a Ph.D. in biomedical sciences at the University of California, San Diego.

As he recalls, it all happened pretty organically—joining us just seemed like a logical extension of his skill set, passion and interests.

“I'd previously studied neuroscience, then transitioned into a lab studying the genetics of autism during graduate school. That’s when I learned some coding. Later I moved into a bioinformatics lab where I started working on a project in collaboration with J&J R&D that centered on whole-genome sequencing, and when it came time to graduate, J&J was the perfect fit for my skills and interests.”

Today, Kristopher's sense of mission hasn't changed. His work remains centered on patients. Specifically, on predicting patient health outcomes.

"We're trying to figure out who is at high risk for a given disease, or who is likely to respond well to a drug," he explained. "Accurate predictions made early on can translate to better decisions and outcomes for patients."

And to make such accurate predictions, Kristopher is heavily leveraging the unusually rich data sets he has access to at &J.

"For our clinical trials," he said, "we definitely benefit from the one-of-a-kind data sets and other resources we have here. It doesn't hurt that a lot of people are eager to partner with us, too."

Redefining data science

What does it mean to be a "data scientist" at Johnson & Johnson, exactly? Kristopher will tell you the definition is constantly changing—but also that it’s been exceptionally diverse from the start.

"No two data scientists in our group are the same," he observed. In fact, Kristopher counts among his data science colleagues "people who studied statistics, neuroscience, bioinformatics, mathematics, physics—the list goes on."

Such diversity is mirrored in the stakeholders he's collaborating with as well: "We're working with bench researchers, clinicians, business leaders, people who have more traditional consulting backgrounds and many, many others."

Kristopher thinks building collaborative relationships on that scale constitutes a kind of "two-way street of learning." Or as he put it: "We're educating these subject matter experts about data science. Meanwhile, they're teaching us about their own unique areas of expertise. And the result is I'm constantly learning and growing here."

Based in California, Kristopher also wanted to mention one important aspect of workplace culture at Johnson & Johnson on the West Coast.

"It's just a very flexible work environment. Because of the East Coast/West Coast time difference, sure, earlier calls are normal, but that also means your calendar tends to clear up around 2 p.m."

He added, "I know we have a lot of opportunities available in San Diego right now, especially within our R&D footprint."

Join us today

Eager to grow, expand your skill set and positively impact the lives of people everywhere? Like Kristopher, you'll feel at home at Johnson & Johnson.

Be sure to check out the R&D data science roles available on our team as well as all of the different ways you can join the community of data scientists at Johnson & Johnson today.

Plus, if you want to stay in touch—and get updates about jobs that might interest you in the future—be sure to sign up to join our Global Talent Hub.

 

Similar posts

Stay updated with the latest news, insights, and stories from Johnson & Johnson.

Tackling key data science challenges at J&J

The so-called "pitfalls of data science" can also teach valuable lessons—in fact, they're helping us change the future of health. Find out what's so unique about our approach.

Inside the inaugural data science hackathon at J&J

700 data scientists. 35 countries. 2,000-plus solutions proposed. Check out a few highlights from J&J’s inaugural data science hackathon—and find out how you can join us!

Meet physician-data scientist Xiaoying Wu

Xiaoying brought a unique skill set to our data science community: A physician by training, she also had master's degrees in biostatistics from Penn and computer science from Drexel. Here's why that's the perfect recipe for real-world impact on our team today.

A data scientist's personal mission to decode Alzheimer’s at J&J

Discover how Tim Schultz, Ph.D., is applying advanced data science to help change the story of Alzheimer’s disease—and how you can join him.

Connecting data science to healthcare innovation at J&J

Are data science and decision-making simply two sides of the same coin? And if so, what controls or guardrails need to be in place? Two leading data science practitioners at J&J share insights.

Join our Global Talent Hub

Wherever you are in the world or your career, we want to get to know you! Sign up for our talent community and share your career goals—it’s the first place our recruiters look when they have a new role.

JJ Photo Zoomed In Image Of Man On Phone JJ 1Star