채용
Benefits & Perks
•401(k)
•Healthcare
•Dental
•Vision
•Pension
•Flexible Hours
•Mental Health
•401k
•Healthcare
•Flexible Hours
•Mental Health
Required Skills
Python
FastAPI
React
Full stack development
Data pipeline design
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Job Title: Senior Scientist – Research Engineering
Organization Overview
Lilly is a global healthcare leader headquartered in Indianapolis, Indiana. Our 45,000+ employees around the world work to discover and bring life-changing medicines to those who need them. At Lilly, the Investigative ADME, Toxicology and Bio-Analytical Research team focuses on drug discovery using cutting-edge science and technology approaches to treat diseases with poor treatment options.
Position Summary
We are seeking a Senior Scientist to lead our Research Engineering efforts and reimagine the digital infrastructure of drug discovery. In this role, you will be the Technical Lead behind the "Operating System" for ADMET Intelligence. You will act as the bridge between AI/ML experts, wet lab operations, and discovery projects, architecting the scalable engines that transform raw experimental data into predictive "driving directions" for our scientists. Geography is flexible for this position.
What You Will Do
- Design and implement robust, scalable data foundations that streamline scientific data pipelines.
- Lead the design and deployment of modern, cloud-native applications (Python, FastAPI, React) that abstract complex AI predictions into intuitive interfaces, accelerating the Design-Make-Test cycle for bench scientists.
- Set the technical standard for the group: on code quality, CI/CD , and architecture.
- Partner with AI/ML researchers to deploy algorithmic solutions (Sage Maker, LLMs) to production. You will translate high-level planning logic into executable API endpoints that integrate seamlessly with lab automation.
- Create automated workflows that ingest complex multi-modal data and deliver real-time insights to program leaders, drastically reducing the cycle time of discovery.
- Serve as the primary technical translator between AI/ML researchers, discovery teams, and IT/Cloud organizations, converting scientific intent into rigorous engineering specifications.
Basic Qualifications
- Bachelor’s Degree in Computer Science, Engineering, or scientific discipline with 5+ years of full stack development experience (or Master’s with 3+).
- Experience building scalable production applications using Python(i.e. FastAPI) for backend and modern frameworks (i.e.React) for frontend.
- Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.
Additional Skills/Preferences
- Direct experience wrapping AI/ML models into usable products (Sage Maker endpoints, LLM tool-use, RAG architectures).
- Strong ability to design and optimize data systems for high-throughput experiments.
- Knowledge of AWS ecosystems (Lambda, S3, Step Functions, DynamoDB) and containerization (Docker, Kubernetes) in production environments.
- Experience with modern data tools such as Databricks and experience handling complex, structured scientific or diverse datasets.
- Proven ability to mentor junior scientists and influence technical decisions across cross-functional teams.
- History of implementing robust CI/CD pipelines and Infrastructure-as-Code
- Experience working in Life Sciences, Biotech, or a similar R&D environment.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$66,000 - $193,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Eli Lilly
PublicEli Lilly and Company, doing business as Lilly, is an American multinational pharmaceutical company headquartered in Indianapolis, Indiana, with offices in 18 countries. Its products are sold in approximately 125 countries.
10,001+
Employees
5 Locations
Headquarters
Reviews
3.7
1 reviews
Work Life Balance
3.0
Compensation
4.2
Culture
2.5
Career
4.0
Management
3.0
65%
Recommend to a Friend
Pros
Higher base pay
Higher bonus target
Supervisory experience opportunities
Cons
Less PTO to start
Toxic culture concerns
Uncertainty about future performance
Salary Ranges
46 data points
Senior/L5
Senior/L5 · Advisor - Advanced Analytics and Data Science
2 reports
$202,627
total / year
Base
$155,868
Stock
-
Bonus
-
$202,627
$202,627
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
HR Screen
3
Phone/Video Interview
4
Hiring Manager Interview
5
Final Interview/Panel
6
Offer
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Industry Knowledge
Technical Knowledge
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