Software Engineer, Oncology Applications

Eli Lilly and Company

. Design, build, deploy, and sustain full-stack applications, data services, workflow tools, and automation for scientific and operational users .

Posted 9/18/2026full-timeSan Diego • California • United StatesMid-LevelSenior💰 $138,000 - $224,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack application development, API integration, and data services, with a strong focus on collaboration with scientific and operational stakeholders. Proficient in employing AI-enabled capabilities and maintaining high standards for data quality and security in regulated environments.

Highest-signal resume keywords

Full-Stack Application DevelopmentAPI IntegrationPython ProgrammingCloud Deployment (AWS)CI/CD Pipeline Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonDjangoFlaskJavaScriptTypeScriptSQLRelational Database DesignAI-Enabled DevelopmentWorkflow AutomationData Integration

Soft Skills

CommunicationProject ManagementAdaptabilityMentoring

Tools & Technologies

GitCI/CD ToolsContainerizationAI-Assisted Development ToolsLaboratory Systems

Certifications & Qualifications

BS or MS in Computer ScienceSoftware Engineering

Industry Keywords

PharmaBiotechHealthcareResearchRegulated Environment

Tech Stack

Tools & technologies

AWSCloudDjangoFlaskJavaScriptPythonRubyRuby on RailsSQLTypeScript

About the role

Key responsibilities & impact

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
Simplify processes, reduce manual handoffs and duplicative data entry, and connect 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 standards for data quality, provenance, versioning, security, and access control
Develop AI-enabled capabilities for information retrieval, natural-language data access, extraction, annotation, and summarization
Use AI-assisted development tools while maintaining standards for code review, testing, security, and ownership
Evaluate technology options and recommend custom development, configuration, integration, reuse, purchase, process change, or retirement
Contribute to 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

Requirements

What you’ll need

BS or MS in computer science, software engineering, or a related discipline, with 4 or more years of professional software engineering experience; an equivalent combination of education and demonstrated experience will be considered
Strong programming experience with Python or another modern server-side language; Python experience preferred
Experience developing web applications or APIs using modern server-side frameworks, preferably Django, Flask, or 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, 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
Travel requirements are less than 5%

Benefits

Comp & perks

Company bonus depending, in part, on company and individual performance
Company-sponsored 401(k)
Pension
Vacation benefits
Medical benefits
Dental benefits
Vision benefits
Prescription drug benefits
Healthcare and/or dependent day care flexible spending accounts
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities
Reasonable accommodations for individuals with disabilities