Software Engineer, AI & Clinical Applications
Role details
Job location
Tech stack
Job description
Lilly is on a mission to transform medicine, and technology is at the heart of that transformation. As a Full-Stack Developer within Lilly's Medicines Development organization, you will engineer the platforms, tools, and applications that power Lilly's global clinical research efforts, with a primary focus on the Statistics and Clinical organizations.
You will work at the intersection of data, science, and software, partnering with statisticians, clinical scientists, and regulatory professionals to deliver high-quality, compliant solutions that accelerate drug development worldwide. A central part of this role is designing and building AI-powered and agentic applications that automate complex clinical workflows, augment scientific decision-making, and modernize how Lilly's research teams operate at scale.
This is a high-impact role for an engineer who is energized by the frontier of applied AI, excited by the complexity of regulated clinical computing environments, and motivated by the opportunity to directly improve patient outcomes.
What You'll Do
- Own capabilities from concept to production, partnering with business stakeholders to shape requirements, driving delivery through cross-functional teams, and ensuring solutions are adopted and sustained in a regulated environment
- Design, develop, and maintain full-stack applications that support clinical trial data workflows, statistical computing, and regulatory reporting pipelines.
- Architect and build AI-powered and agentic applications, including LLM-integrated tools, multi-step autonomous agents, and MCP-based workflows that automate high-complexity tasks across the clinical and statistics organizations.
- Collaborate closely with global statisticians and clinical data scientists to translate analytical requirements into robust, scalable software solutions, surfacing AI capabilities that meaningfully reduce manual effort.
- Build and extend integrations across Lilly's clinical data ecosystem, including platforms such as CLUWE (Clinical Trial Data Platform), statistical computing environments (SCE), and downstream regulatory submission tooling.
- Develop APIs, microservices, and data processing pipelines that handle sensitive clinical data in compliance with 21 CFR Part 11, GxP standards, and Lilly data governance policies, including AI systems operating in those environments.
- Partner with DevOps and cloud engineering teams to deploy and maintain applications, including agentic systems, on enterprise cloud infrastructure.
- Participate in Agile ceremonies, contribute to product roadmaps, and continuously improve engineering practices, code quality, and documentation.
- Stay current on the rapidly evolving AI and agentic landscape, evaluating new frameworks and patterns that can be responsibly applied within Lilly's regulated development environment.
- Serve as a trusted technology partner to clinical and statistics leadership, translating complex technical concepts into clear business value and actively contributing to roadmap prioritization, resource planning, and stakeholder alignment., This role is based at our Corporate Center in Indianapolis, IN. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week, supporting both collaboration and work-life balance.
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.
Requirements
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Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
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3+ years of full-stack software development experience with production-deployed applications.
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Strong proficiency in Python for backend development and data processing.
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Demonstrated ability to collaborate across cross-functional teams, including non-technical scientific or clinical stakeholders.
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Excellent communication skills, with experience translating complex technical concepts for diverse audiences.
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As part of the interview process, you may be required to showcase your coding and problem-solving skills by completing a CoderPad exercise.
What You Should Bring
Languages
Python (primary), JavaScript/TypeScript, SQL; familiarity with R a plus
AI & Agentic
Hands-on experience building LLM-integrated applications; familiarity with agentic frameworks (e.g., LangChain, LangGraph, AutoGen, or MCP); prompt engineering; RAG architecture; responsible AI principles
Frontend
React or Vue.js; responsive UI design; data visualization libraries (e.g., Plotly, D3.js)
Backend
RESTful API design; FastAPI or Flask; Node.js; GraphQL
Data & Pipelines
Pandas, NumPy, PySpark; ETL/ELT pipeline development; familiarity with clinical data standards (CDISC SDTM, ADaM)
Cloud & DevOps
AWS or Azure; Docker; CI/CD pipelines; Git/version control
Databases
PostgreSQL, SQL Server, or Oracle; working knowledge of both relational and NoSQL data stores
Security & Compliance
Experience in regulated or GxP environments; understanding of audit trails, electronic signatures, and data integrity principles (21 CFR Part 11)
- Prior experience in a clinical, pharmaceutical, or life sciences technology environment.
- Exposure to statistical software environments such as SAS or SAS Viya, and awareness of SAS-to-open-source migration patterns.
- Familiarity with clinical trial data standards (CDISC, SDTM, ADaM) and regulatory submission processes.
- Experience building AI-assisted or agentic workflows, including LLM integrations or MCP-based architectures.
- Knowledge of ServiceNow or similar ITSM platforms within a GxP-compliant organization.
Benefits & conditions
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 - $158,400
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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