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Eli Lilly andCompany guide
Updated weekly · Reviewed by the Dataford team

Eli Lilly and interview process & guide 2026

Interview difficulty 5.0 / 10Based on 491 interview reports

Everything we know about interviewing at Eli Lilly and: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

Software EngineerAccount ExecutiveBusiness AnalystStatisticianQA EngineerResearch Scientist
Practice Eli Lilly and questionsSee the process

At a glance

5.0/ 10
Interview difficulty 5.0 / 10
Rated by candidates who reported interviewing here. Harder than 75% of companies we track.
21
Role guides
491
Interview reports
12
Topics tracked
$118k
Median total comp
5 rounds
  1. 1
    Initial Screening (recruiter and HR fit check)
  2. 2
    Behavioral interviews (STAR-style)
  3. 3
    Case study and/or technical interview sequence
  4. 4
    Technical assessment (role-relevant depth)
  5. 5
    Final interviews and offer discussion
01 · Overview

Interviewing at Eli Lilly and

Eli Lilly runs a structured interview loop that combines recruiter screening, behavioral interviews using STAR-style answers, and multiple technical checkpoints. Across the roles in your dataset, interviewers also probe communication and cross-functional collaboration, not just coding.

The topics data shows Lilly heavily emphasizes UI design, solutions architecture, computer vision, and research analysis, while also requiring SQL and AWS knowledge and expecting Python and project management. Behavioral Interviewing (Technical Skills) and Project Management are the most prominent non-technical categories in the topic mix, and Research Analysis, Parenteral manufacturing operations, and Solutions Architecture appear at the top percentile.

Based on candidate difficulty and sentiment, most candidates rate the process as medium (67.4%) with 12.8% hard and 2.2% very hard, and positive sentiment is 65.8%. Offer rate is 0.0% in the aggregated candidate reports provided, so you should treat outcomes as uncertain from this dataset, and focus on preparing for the listed topic areas and the STAR-based behavioral format.

Good to know

The loop repeatedly uses STAR-style behavioral interviewing plus role-experience probing, and many technical stages still connect back to how you handled past projects, not only abstract problem solving.

02 · Difficulty and outcomes

How hard is the Eli Lilly and interview?

Aggregated from 491 interview experiences
Difficulty mix
Easy18%
Medium67%
Hard15%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
42%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

204 offers across 491 reports with a stated outcome.
Experience sentiment
66%positive
Positive 66%Neutral 19%Negative 15%
Reports by year
0
66
218
175
32
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

5 rounds · based on 491 candidate reports
  1. 1
    Initial Screening (recruiter and HR fit check)

    You start with an initial screening with a recruiter to evaluate your background and fit for the role. This is described as HR-led screening focused on basic qualifications and fit.

    Not specified · role fit · communication · basic qualifications
  2. 2
    Behavioral interviews (STAR-style)

    You answer behavioral questions focused on teamwork, leadership, collaboration, analytical thinking, and cultural fit. Multiple reports and topic data indicate STAR-style structure is expected, and interviewers also connect your stories to company alignment.

    Not specified · STAR method · behavioral consistency · collaboration
  3. 3
    Case study and/or technical interview sequence

    Depending on the role, you may do a case study or move into technical interviews. The technical portion is described as a series of technical discussions that can include coding, system design or solutions architecture, and assessments tied to relevant technologies.

    Not specified · problem solving · system design · coding fundamentals
  4. 4
    Technical assessment (role-relevant depth)

    You may take a technical assessment stage, reported by some roles, to evaluate analytical skills and technical knowledge. In the topic mix for this company, prominent areas include SQL, AWS, Python, and in some tracks computer vision, research analysis, and UX/UI design.

    Not specified · SQL · AWS · Python
  5. 5
    Final interviews and offer discussion

    You may complete one or more final interviews focused on overall fit, readiness to contribute, and two-way communication. If you pass, there is an Offer Discussion step where salary and benefits are discussed.

    Not specified · overall fit · stakeholder communication · readiness
04 · Topic breakdown

What Eli Lilly and actually tests for

How prominent each skill is across reported loops
100%
MLOps (Machine Learning Operations)
99%
SQL
89%
AWS (Amazon Web Services)
87%
Statistics
86%
Communication skills
83%
Survival Analysis
82%
STAR Method (Situation-Task-Action-Result)
82%
Statistical Inference (p-values)
81%
Behavioral Interviewing
78%
Python
63%
Problem Solving
48%
Master Data Management (MDM)
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Eli Lilly and interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
$66k-$240k total comp
Real questions · Loop structure · Pay bands
Open the guide
Account Executive
$63k-$160k total comp
Real questions · Loop structure · Pay bands
Open the guide
Business Analyst
16 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 21 role guides
AI Engineer
Questions and loop structure
Open guide
Consultant
Questions and loop structure
Open guide
Data Analyst
Questions and loop structure
Open guide
Data Engineer
$104k-$231k
Open guide
Data Scientist
$66k-$165k
Open guide
DevOps Engineer
Questions and loop structure
Open guide
Financial Analyst
Questions and loop structure
Open guide
Machine Learning Engineer
$66k-$165k
Open guide
Marketing Analytics Specialist
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Software Engineer
06 · Compensation

What Eli Lilly and pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $118k
Level$0kTotal comp range$250kTotal
All levels
Base $47k-$233k
$47k-$240k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Use STAR formatting every time you answer behavioral questions, and make sure your examples map directly to collaboration, communication, and leadership or project-management style work.
  • Prepare SQL and AWS foundations, then be ready to explain how you used them in real projects, including trade-offs and what you would do differently.
  • For technical interviews and assessments, focus on structured reasoning and clear communication while solving problems, since several reports describe time pressure where your approach and coding clarity both mattered.
  • If you get a case study, talk through your plan explicitly before diving into details, then connect your decisions to the system or operational goals implied by the prompt.

Avoid this

  • Treat behavioral questions as casual conversation, you are expected to structure answers using STAR and tie them back to alignment and past experience.
  • Only studying a narrow slice of “coding” can leave gaps, the topic mix strongly includes system design and solutions architecture, and in some role tracks computer vision or research analysis.
  • Don’t assume the process will be one consistent interview format across roles, the reported steps include multiple variants like panel interviews, in-depth interviews, and technical assessment formats.
  • Avoid being unprepared to explain resume details, multiple reports describe interviewers drilling into what you wrote and asking for expanded explanations.
08 · FAQ

Eli Lilly and interview FAQ

Answered from real candidate and workplace data
How difficult are the interviews here?

In the candidate reports provided, 17.5% are easy, 67.4% are medium, 12.8% are hard, and 2.2% are very hard. Candidate sentiment is positive at 65.8%, but the mix suggests you should expect some rounds to feel genuinely challenging.

What topics should I prioritize most?

From the extracted question data, the most prominent topics include SQL (100th percentile), UX/UI Design (100th percentile), Computer Vision (100th percentile), Solutions Architecture (100th percentile), Research Analysis (100th percentile), and Project Management (100th percentile). AWS (92nd percentile) and Python (82nd percentile) are also highly prominent, and Communication skills (Soft Skills & Leadership) is at 86th percentile.

Is there a recruiter screen or HR stage, and what do they cover?

Yes. Several roles report an Initial Screening with a recruiter to evaluate your background and fit, conducted by HR to assess basic qualifications. The dataset also includes an Offer Discussion step after successful interviews where salary and benefits are discussed.

How long is the loop, or how many rounds should I expect?

The dataset lists many possible steps, but it does not provide a single consistent timeline or total number of interviews across all candidates. Candidate reports do mention specific call lengths in some cases, for example around 40 minutes for a director conversation and around 45 minutes for some interviews, but you should expect variability.

Do candidates get offers based on these reports?

The aggregated offer rate in the provided candidate reports is 0.0%. Because this number is computed from the dataset you supplied, you should not rely on it as a prediction for any specific role, and instead prepare for the content and structure described.

Should I reapply if I get rejected?

The supplied data does not say anything about re-application policies or cooldown periods. If you want guidance, you would need additional information beyond what is included here.

09 · In their words

What people say about Eli Lilly and

Verbatim snippets from employee and candidate reviews
“Eli Lilly is a good company if you find yourself on a positive project.”
Software Engineer4.0
“Eli Lilly offers a strong work culture, generous leave policies, and competitive benefits, including variable pay that can be nearly double the standard.”
Software Engineer4.0
“Project dynamics can be toxic, often influenced by favoritism towards certain employees.”
Software Engineer4.0
“Management should address favoritism, regularly engage with project teams, and leverage employee strengths while helping them improve weaknesses.”
Software Engineer4.0
“The frequent changes in management decisions have left employees feeling irritated and hesitant to engage in their work.”
Software Engineer3.0
“Recent management changes have created a climate of fear and dissatisfaction among employees, impacting overall morale.”
Software Engineer3.0
10 · Keep prepping

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