Scientific Software Developer, Data Foundry

Responsibilities

• Design, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, High throughput experiments, and automation-generated data), ensuring FAIR compliance and machine-actionability.
• Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.
• Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.
• Hand off 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 with proper metadata and execution traceability.
• 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.
• Support Scale4Insight’s Agentic Lab by building software enabling seamless interfacing between automation platforms and AI-driven experimental planning.
• Build and operate cloud-native components (AWS, Azure, or GCP) supporting containerized workflows (Kubernetes/Docker), infrastructure-as-code, CI/CD, and workflow orchestration (Prefect, Airflow, Nextflow).
• Apply DevSecOps standards including security scanning, code review, and automated testing.
• Participate in agile development with iterative improvement and cross-functional collaboration.

Requirements

• 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.