Scientific Software Developer

Eli Lilly and Company

Scientific Software Developer building scientific data infrastructure at Lilly for AI-native drug discovery across disciplines. Collaborating with scientists to create solutions for complex data workflows.

Posted 5/22/2026full-timeSan Diego • California, Colorado, Massachusetts • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudGoJavaMicroservicesPythonSQLTypeScript

About the role

Key responsibilities & impact

Design, build, and maintain data processing pipelines for complex scientific datasets, ensuring FAIR compliance and machine-actionability.
Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses and analytical databases.
Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.
Work directly with bench scientists to understand pain points and rapidly prototype custom applications, dashboards, and workflow tools.
Validate prototypes through iterative scientist feedback, ensuring solutions are fit-for-purpose before transition.
Partner with Tech@Lilly Product Engineering to hand off mature prototypes for enterprise scaling, defining transition criteria, documentation standards, and SLAs.
Build integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry’s infrastructure.
Develop software for robotic workflow control, instrument driver interfaces, and real-time data capture from automated platforms.
Create modular, reusable automation workflow components scientists can configure without writing code.
Build and operate cloud-native components supporting containerized workflows, infrastructure-as-code, CI/CD, and workflow orchestration.
Apply DevSecOps standards including security scanning, code review, and automated testing.
Participate in agile development with iterative improvement and cross-functional collaboration.

Requirements

What you’ll need

B.S. or M.S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM field
Bachelor with 3+ years and Master with 1+ years of scientific software development, with understanding of experimental data types and scientific workflows
Proficiency in Python and at least one additional language (Java, C#, Go, or TypeScript); SQL skills appropriate to level
Qualified applicants must be authorized to work in the United States on a full-time basis.

Benefits

Comp & perks

eligibility to participate in a company-sponsored 401(k)
pension
vacation benefits
eligibility for medical, dental, vision and prescription drug benefits
flexible benefits (e.g., 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 (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

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 & Tools

data processing pipelinesRESTful APIsmicroservicesLIMSELNscloud-native componentsPythonSQLDevSecOpsCI/CD

Soft Skills

cross-functional collaborationiterative improvementcommunicationproblem-solvingfeedback validation