In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
The interviewer asked me about my previous jobs. He then asked me about how I felt about this new job, to which I said I was satisfied with the job. The interview continued, with more questions. I also answered some of the questions on my CV and it seemed to go well.
Questions are more personality in type to understand if you will fit into the Gallo style.
During the behavioral interview, they just asked the standard questions you can find on google and wanted the STAR-type answers. My interviews on site were tailored specifically to my background, so the details of those questions wouldn't really help anybody else. The most difficult question I was faced with, though, was, "What was the most important thing you learned in grad school?"
Technical questions and personality trait
Please go over your background.
Do you think what your weaknesses are?
Why Lilly?
Tell us about your previous research.
Vague confusing questions without proper specifications
what do you expect, what do you know, how would you handle conflict, how would you handle a customer / client that was unreasonable. How are your interpersonal skills. Can you do this type of experiment, do you know this software, do you know this instrument.
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