Software Engineer, Oncology Apps - AI-Enabled Data Tools

Scorpion Therapeutics; San Diego (CA); On-site; USD 138,000 - 224,000; Full time

Benefits offered by this job

Company bonus

401(k)

Medical / Dental / Vision

Paid time off

Life insurance

Well-being benefits

Job summary

Lilly is seeking a Software Engineer, Oncology Applications to design, build, and sustain full-stack applications and data services that connect researchers and operations, enabling faster access to information and reducing manual work.

You will collaborate with scientists and engineers, implement AI-enabled capabilities, ensure data quality and security, and contribute to CI/CD, cloud deployments, and maintainable APIs.

Qualifications

• BS/MS in computer science or related field with 5+ years professional software engineering experience.
• Strong Python experience; Python preferred.
• Web apps/APIs with modern frameworks (Django/Flask/Rails).
• Frontend with JavaScript/TypeScript and a component framework.
• Relational DB design, SQL, APIs, system integration.
• Cloud deployment (AWS), containerization, CI/CD.
• Git-based collaboration, code review, automated testing, production support.
• AI-assisted development tools; familiarity with LLM APIs.
• Experience with scientific/operational/data-intensive apps; pharma/biotech/healthcare/research/regulation.

Responsibilities

• Design, build, deploy, and sustain full-stack applications, data services, workflow tools, and automation.
• Partner with scientists, engineers, informatics teams, and stakeholders to identify needs and define deliverables.
• Improve efficiency by reducing manual handoffs and connecting fragmented systems/data.
• Build and maintain APIs, data models, and access layers across data sources.
• Integrate with laboratory systems, data pipelines, analysis environments, and enterprise platforms.
• Apply data quality, provenance, versioning, security, and access control standards.
• Develop AI-enabled capabilities (retrieval, NLP, extraction, annotation, summarization).
• Use AI-assisted development tools with code review/testing/security/ownership standards.
• Evaluate build vs. configure/integrate/reuse/purchase/process change/retire.
• Contribute to engineering practices (version control, peer review, automated testing, CI/CD, containerization, observability, dependency management).
• Deploy and operate on Lilly cloud infrastructure; own reliability, support, documentation, maintenance, and lifecycle planning.
• Mentor junior engineers, co-ops, and scientist-developers.

Skills

Python

Web frameworks

JavaScript/TypeScript

SQL / Relational DB

Cloud deployment (AWS)

CI/CD

Git collaboration

AI/LLM APIs

Data-intensive apps

System integration

Education

BS/MS in Computer Science

Tools

Django

Flask

React/TypeScript

AWS

Job description

Lilly is seeking a Software Engineer, Oncology Applications to design, build, and sustain full-stack applications and data services that connect researchers and operations, enabling faster access to information and reducing manual work.

You will collaborate with scientists and engineers, implement AI-enabled capabilities, ensure data quality and security, and contribute to CI/CD, cloud deployments, and maintainable APIs.