Two candidates for Lilly research scientist roles describe interviews centered on resume deep dives and behavioral questions, with some biology context. Neither received an offer, and neither described a technical round.
$149K
Avg. Base Comp
$178K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Candidates who described Lilly research scientist interviews focused less on algorithms and more on how well they could explain their own work. One candidate, who interviewed for an AI Research Scientist role, faced a panel that opened with a self-introduction and then spent most of the time on at least two past projects. Interviewers asked about the motivation behind each project, the details, and the candidate's personal contribution. Behavioral questions followed, including how the candidate resolved a workplace conflict and how they manage their time. The candidate also said to be ready for biology questions, which suggests the conversation may lean toward domain awareness. They wished for more time to answer fully.
A second candidate, who interviewed for a Research Scientist role, described a different shape. It started with a roughly 30-minute HR pre-screen about background and interest in Lilly. That was followed by a roughly 45-minute conversation with a hiring manager and an HR representative. Questions covered a technical difficulty, a mistake the candidate had made, a typical day, and how colleagues would describe them. This candidate reported that the questions stayed behavioral and resume-focused rather than algorithmic.
Neither candidate received an offer. The second candidate did not advance to a technical round, and the first did not describe one, so the evidence is thin on coding or modeling questions. A sensible way to prepare is to rehearse two or three projects end to end, practice STAR stories that include what you learned from setbacks, and be ready to connect your research to biological or healthcare context.
Synthesized from 2 candidate reports by our editorial team.
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Real interview reports from people who went through the Eli Lilly And Company process.
The process felt very panel-heavy, but it was still organized and moved along smoothly. I went in for an AI Research Scientist role and the first thing they wanted was a self-introduction, which quickly turned into a deep dive on my resume. They spent a lot of time on at least two of my past experiences, asking me to explain the motivation behind the work, the details of the projects, and what I personally contributed. It was less about polished answers and more about whether I could clearly defend the choices I made in my research and project history.
After that, the interview shifted into behavioral questions and a few broader judgment questions. One that stood out was about a conflict I had resolved at work and how I handled it, and another was about how I manage my time schedule. The interviewers were open-minded and patient, but I definitely wished I had more time to answer some of the questions fully. There was also an expectation to be ready for interesting biological questions, which made the conversation feel more domain-aware than a standard AI interview. Overall, the panel came across as fair and direct, with experienced people from different specialties asking straightforward questions about both my background and how I think. I didn’t move forward in the process, so my main takeaway is to prepare very specific stories from your resume and be ready to explain the research motivation and biological context behind your work, not just the technical methods.
Prep tip from this candidate
Be ready to walk through at least two resume projects in detail, including the motivation behind them and your exact role. Also prepare for behavioral questions like conflict resolution and time management, plus some biology-focused questions tied to your research background.
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Synthesized from candidate reports. Individual experiences may vary.
One candidate reports that HR reached out and held a pre-screen about a week later. It lasted around 30 minutes and covered background, interest in Lilly, knowledge of the role and general fit. The candidate described it as relaxed. Other candidates may see a different first step.
The same candidate reports a roughly 45-minute conversation with a hiring manager and an HR representative. Questions covered a technical difficulty, a mistake, a typical day, how colleagues would describe them and outside interests. The candidate reports it stayed behavioral and resume-focused rather than algorithmic.
One candidate describes a panel-heavy interview that began with a self-introduction and moved into detailed questions on at least two past projects. Interviewers asked about motivation, project details and the candidate's own contribution, so be ready to defend your research choices.
The same panel candidate reports behavioral questions about resolving a conflict and managing time, and says to expect some biology questions. Time was tight for fuller answers, so concise stories may help. Neither candidate describes what follows these rounds.
