Scientific Software Developer, Data Foundry

Responsibilities

• Design, build, and maintain scientific data pipelines for chemical/biological/high-throughput and automation-generated data (FAIR compliance; machine-actionable).
• Develop RESTful APIs/microservices for programmatic access to LIMS, ELNs, instruments, and data warehouses (Postgres/Redshift/Snowflake).
• Improve LIMS/adjacent systems for evolving scientific, security, and scalability needs.
• Prototype dashboards and workflow tools with bench scientists; validate with feedback.
• Hand off mature prototypes to Tech@Lilly Product Engineering for enterprise scaling (criteria, documentation standards, SLAs).
• Build lab automation integrations (equipment, scheduling systems, instrument data streams) with metadata and execution traceability.
• Develop robotic workflow control, instrument driver interfaces, real-time data capture, and reusable automation components.
• Support agentic lab interfacing between automation platforms and AI experimental planning.
• Build/operate cloud-native components (AWS/Azure/GCP), containerized workflows (Kubernetes/Docker), IaC, CI/CD, and orchestration (Prefect/Airflow/Nextflow); apply Dev Sec Ops  (security scanning, testing).

• BS/MS in CS, Bioinformatics, Cheminformatics, Computational Biology, Chemistry/Biology, Biomedical Engineering, or related STEM.
• BS: 3+ years; MS: 1+ year scientific software development.
• Python + one other language (Java/C#/Go/Type Script); SQL skills.
• US work authorization required; no visa sponsorship.

• REST APIs, data pipelines, microservices; cloud/container/Git; scientific/LIMS/ELN and instrument integration.
• Lab automation integration (OPC-UA, serial/USB, scheduling platforms); data warehousing/ontologies.
• Cheminformatics/bioinformatics tools;
  Sci Py/Num Py; workflow orchestration (Prefect/Airflow/Nextflow/WDL); CI/CD.

• 401(k), pension, vacation; medical/dental/vision; flexible benefits; life insurance; time off/leave; well-being benefits (e.g., EAP, fitness, clubs).

San Diego CA;
San Francisco CA;
Boston MA;
Louisville CO;
Indianapolis IN.