All Of Our Groups

Healthcare

SoftwareEngineer,AI&ClinicalApplications

$65–158k Indianapolis, Indiana, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Engineer, AI & Clinical Applications at All Of Our Groups. Skills: AI-powered applications, Agentic applications, Full-stack development, Clinical workflows. Own capabilities from concept to production. Shape requirements with stakeholders”

What You'll Achieve.

Accelerate drug development; Automate complex workflows; Augment scientific decision-making; Modernize research operations; Reduce manual effort

Industry & Context.

Healthcare
Problems you'll solve

Problem-solving skills

Eligibility Requirements

Authorized to work in US

What You'll Do.

Own capabilities from concept to production

Shape requirements with stakeholders

Drive delivery through teams

Ensure solutions are adopted

Design full-stack applications

Develop full-stack applications

Maintain full-stack applications

Architect AI-powered applications

Build AI-powered applications

Build LLM-integrated tools

Build autonomous agents

Build MCP-based workflows

Automate high-complexity tasks

Collaborate with statisticians

Collaborate with data scientists

Translate analytical requirements

Surface AI capabilities

Develop microservices

Develop data processing pipelines

Handle sensitive clinical data

Maintain applications

Participate in Agile ceremonies

Contribute to product roadmaps

Improve engineering practices

Improve documentation

Stay current on AI landscape

Evaluate new frameworks

Evaluate new patterns

Serve as technology partner

Translate technical concepts

Contribute to roadmap prioritization

Contribute to resource planning

Contribute to stakeholder alignment

How You'll Work.

Team & Collaboration

Cross-functional teams; DevOps teams; Cloud engineering teams; Global statisticians; Clinical data scientists; Clinical leadership; Statistics leadership

Communication Scope

Translate technical concepts

Process & Methodology

Agile ceremonies, Product roadmaps

Full Job Description

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. 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 reportin

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