NVIDIA Applied Research Scientist Intern - Digital Biology interview questions
based on 1 rating - Updated Dec 14, 2025
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Applied Research Scientist Intern - Digital Biology applicants have rated the interview process at NVIDIA with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58% positive. This is according to Glassdoor user ratings.
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I had 3 rounds. The first was with a member of the team, where I explained my research and elaborated on technical details to demonstrate my understanding of comp bio/ML. The second round was a coding round where they asked me to code k-means from scratch. They also asked me technical ML questions. Third round was with the director, and it focused a lot on biological interpretation of ML concepts in bionformatic methods.
Interview questions [1]
Question 1
Which ensemble learning method, random forest or gradient boosting, has more bias and which one has more variance?