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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Oncology Applications - **Company:** The Lilly Company - **Location:** San Diego, CA, United States - **Salary:** $138,000.0 - $224,400.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Bioinformatics, Business Software, Cloud Computing, Code Review, Cyber Security, Computer Programming, Continuous Integration, Custom Software, Data as a Services, Data Governance, Data Security, Relational Databases, Web Development, Django Web Framework, Information Retrieval, Python (Programming Language), Ruby on Rails, Software Engineering, SQL Databases, Systems Integration, TypeScript, Management of Software Versions, Visual Analytics, Workflow Management Systems, Data Processing, Flask (Web Framework), Large Language Models, Git, Containerization, Information Technology, Enterprise Integration, Front End Software Development, Software Version Control, Data Pipelines - **Published:** August 25, 2026 - **Apply:** https://dejobs.org/x/x/197B3AEFCC8D4802B5450BABBFD94421/job/ ## About the Role * BS or MS in computer science, software engineering, or a related discipline, with 5 or more years of professional software engineering experience. An equivalent combination of education and demonstrated experience will be considered Additional Preferred Qualifications * Strong programming experience with Python or another modern server-side language; Python experience is preferred. * Experience developing web applications or APIs using modern server-side frameworks (preferred frameworks for experience: Django, Flask, Ruby on Rails) * Front-end development experience with JavaScript or TypeScript and a modern component framework. * Experience with relational database design, SQL, APIs, and system integration. * Experience with cloud deployment, preferably AWS, as well as containerization and CI/CD pipelines. * Fluency with Git-based collaborative development, code review, automated testing, and production support. * Experience with AI-assisted development tools and working familiarity with LLM APIs or related application patterns. * Ability to work directly with scientific and operational stakeholders and communicate technical options clearly to non-engineers. * Demonstrated ability to work independently, manage concurrent projects, and adapt to changing priorities. * Experience developing scientific, operational, or data-intensive business applications. * Prior work in pharma, biotech, healthcare, research, or another regulated environment. * Experience with biological data, laboratory systems, scientific instruments, or research data pipelines. * Experience with workflow automation, enterprise integration, reporting, or interactive data visualization. * Experience developing AI-enabled or agentic applications over internal data sources. * Familiarity with data governance, sensitive-data handling, or controlled-access systems. ## Description Oncology at Lilly depends on software that connects people, data, systems, and workflows across research and business operations. The Software Engineer, Oncology Applications designs, builds, integrates, and sustains applications that improve access to information, reduce manual work, and help teams operate more efficiently. The position sits within the software engineering group and serves the Oncology organization broadly. The engineer will partner with discovery and translational teams, scientific platforms, informatics, research operations, and Tech@Lilly. Work may include scientific data applications, workflow and process tools, dashboards and reporting, system integrations, automation, and AI-enabled interfaces. The portfolio will evolve with Oncology priorities and technologies. The role requires sound engineering practices, thoughtful use of AI-assisted development, and a focus on secure, tested, maintainable systems., * Design, build, deploy, and sustain full-stack applications, data services, workflow tools, and automation for scientific and operational users. * Partner with scientists, engineers, informatics teams, and business stakeholders to identify needs, clarify requirements, and define practical deliverables. * Improve efficiency by simplifying processes, reducing manual handoffs and duplicative data entry, and connecting fragmented data and systems. * Build and maintain APIs, data models, and access layers across scientific, operational, enterprise, and vendor data sources. * Integrate applications with laboratory systems, data pipelines, analysis environments, and enterprise platforms. * Apply appropriate standards for data quality, provenance, versioning, security, and access control. * Develop AI-enabled capabilities where they provide clear value, such as information retrieval, natural-language data access, extraction, annotation, and summarization. * Use AI-assisted development tools while maintaining established standards for code review, testing, security, and ownership. * Evaluate technology options and recommend whether needs are best addressed through custom development, configuration, integration, reuse, purchase, process change, or retirement. * Contribute to shared engineering practices, including version control, peer review, automated testing, CI/CD, containerization, observability, and dependency management. * Deploy and operate applications on Lilly cloud infrastructure in partnership with Tech@Lilly and Information Security. * Own application reliability, user support, documentation, maintenance, and lifecycle planning. * Mentor junior engineers, co-ops, and scientist-developers as appropriate. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Are Code Reviews Worth It? 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