Novartis AI Research Scientist Interview Guide

Our candidates report that Novartis is looking for more than a polished research story — they want evidence that you can defend your own work at a granular level. In one experience, the interviewers had clearly read the candidate’s first-author paper and expected the discussion to stay anchored in that material, not in broad AI talking points. That pattern suggests the bar is less about name-dropping methods and more about whether you can explain why you made specific choices, what tradeoffs you accepted, and how your prior work maps onto the problem they actually need solved.

A recurring theme is the emphasis on practical scientific judgment. Multiple parts of the process reportedly shifted from technical discussion into questions about procedures a scientist would perform in the role, which tells us they care about whether you can operate in their environment, not just reason abstractly. We also see a strong signal that they value candidates who can connect research experience directly to the position without forcing the fit. The behavioral side appears similarly grounded: one candidate was pressed on a coworker conflict, but even that seemed aimed at understanding how you work inside a cross-functional scientific team. In short, Novartis seems to reward candidates who are precise, credible, and able to translate research into applied impact.