Software Engineer, Oncology Applications
Eli Lilly and Company
August 24, 2026
Remote friendly (San Francisco, CA)
United States
IT
Position Summary: Design, build, integrate, and sustain oncology software applications that improve access to information, reduce manual work, and help teams operate more efficiently across research and business operations.
Key Responsibilities:
- Design, build, deploy, and sustain full-stack applications, data services, workflow tools, and automation.
- Partner with scientists/engineers/informatics/business stakeholders to identify needs, clarify requirements, and deliver solutions.
- Improve efficiency by simplifying processes, reducing handoffs/duplicative data entry, and connecting fragmented systems.
- Build and maintain APIs, data models, and access layers across scientific/operational/enterprise/vendor sources.
- Integrate with lab systems, data pipelines, analysis environments, and enterprise platforms.
- Apply standards for data quality, provenance, versioning, security, and access control.
- Develop AI-enabled capabilities (e.g., retrieval, natural-language access, extraction/annotation/summarization).
- Use AI-assisted development while meeting code review/testing/security/ownership standards.
- Evaluate and recommend build vs. configure/integrate/reuse/purchase/process change/retirement.
- Use shared practices: version control, peer review, automated testing, CI/CD, containerization, observability, dependency management.
- Deploy/operate on cloud in partnership with Tech@Lilly and Information Security; ensure reliability, support, documentation, maintenance, and lifecycle planning.
- Mentor junior engineers/co-ops/scientist-developers as appropriate.
Required Qualifications:
- BS/MS in CS/software engineering (or related) + 5+ years professional software engineering (equivalent education/experience accepted).
Preferred Qualifications/Skills:
- Python (preferred) or other modern server-side language.
- Web apps/APIs with modern frameworks (Django/Flask/Rails).
- Front-end in JS/TS with component framework.
- Relational DB design/SQL, APIs, integration.
- Cloud (prefer AWS), containers, CI/CD.
- Git, code review, automated testing, production support.
- AI-assisted tools and familiarity with LLM APIs.
- Communicate with non-engineers; work independently and manage concurrent projects.
- Experience with data-intensive/scientific/operational apps; regulated environments; biological data/lab systems/pipelines.
- Workflow automation, enterprise integration, reporting/visualization; AI-enabled/agentic apps; data governance and controlled-access systems.
Benefits (if eligible): company bonus (based on performance); 401(k), pension, vacation, medical/dental/vision/prescription; flexible benefits; life/death benefits; time off/leave; well-being (EAP, fitness, clubs).
Key Responsibilities:
- Design, build, deploy, and sustain full-stack applications, data services, workflow tools, and automation.
- Partner with scientists/engineers/informatics/business stakeholders to identify needs, clarify requirements, and deliver solutions.
- Improve efficiency by simplifying processes, reducing handoffs/duplicative data entry, and connecting fragmented systems.
- Build and maintain APIs, data models, and access layers across scientific/operational/enterprise/vendor sources.
- Integrate with lab systems, data pipelines, analysis environments, and enterprise platforms.
- Apply standards for data quality, provenance, versioning, security, and access control.
- Develop AI-enabled capabilities (e.g., retrieval, natural-language access, extraction/annotation/summarization).
- Use AI-assisted development while meeting code review/testing/security/ownership standards.
- Evaluate and recommend build vs. configure/integrate/reuse/purchase/process change/retirement.
- Use shared practices: version control, peer review, automated testing, CI/CD, containerization, observability, dependency management.
- Deploy/operate on cloud in partnership with Tech@Lilly and Information Security; ensure reliability, support, documentation, maintenance, and lifecycle planning.
- Mentor junior engineers/co-ops/scientist-developers as appropriate.
Required Qualifications:
- BS/MS in CS/software engineering (or related) + 5+ years professional software engineering (equivalent education/experience accepted).
Preferred Qualifications/Skills:
- Python (preferred) or other modern server-side language.
- Web apps/APIs with modern frameworks (Django/Flask/Rails).
- Front-end in JS/TS with component framework.
- Relational DB design/SQL, APIs, integration.
- Cloud (prefer AWS), containers, CI/CD.
- Git, code review, automated testing, production support.
- AI-assisted tools and familiarity with LLM APIs.
- Communicate with non-engineers; work independently and manage concurrent projects.
- Experience with data-intensive/scientific/operational apps; regulated environments; biological data/lab systems/pipelines.
- Workflow automation, enterprise integration, reporting/visualization; AI-enabled/agentic apps; data governance and controlled-access systems.
Benefits (if eligible): company bonus (based on performance); 401(k), pension, vacation, medical/dental/vision/prescription; flexible benefits; life/death benefits; time off/leave; well-being (EAP, fitness, clubs).