Scientific Software Developer,Data Foundry Job Louisville area,Colorado USA,IT/Tech

Scientific Software Developer, Data Foundry

Responsibilities

Design, build, and maintain data processing pipelines for chemical/biological, high-throughput, and automation-generated datasets, ensuring FAIR compliance and machine-actionability.
Develop RESTful APIs and microservices for unified access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.
Support continuous improvement of LIMS and adjacent systems for evolving scientific workflows, security, and scalability.
Work with bench scientists to prototype custom applications, dashboards, and workflow tools; validate via iterative feedback.
Hand off mature prototypes to Tech@Lilly for enterprise scaling (transition 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, and real-time data capture; create modular automation components configurable without code.
Support agentic lab interfacing between automation platforms and AI-driven experimental planning.
Build/operate cloud-native components (AWS/Azure/GCP) for containerized workflows, infrastructure-as-code, CI/CD, and orchestration (Prefect/Airflow/Nextflow).
Apply Dev Sec Ops (security scanning, code review, automated testing); participate in agile development.

Basic Requirements

BS/MS in CS, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM.
BS: 3+ years; MS: 1+ years scientific software development with experimental data and scientific workflows.
Proficiency in Python and one additional language (Java, C#, Go, Type Script); appropriate-level SQL.
Authorized to work in the United States full-time; no visa sponsorship.

Preferred Qualifications

Building REST APIs, data pipelines, and/or microservices.
AWS/Azure/GCP, Docker/Kubernetes, Git; LIMS/ELN (e.g., Benchling) and instrument integration.
Lab automation/digital platform integration (OPC-UA, serial/USB, scheduling platforms).
Data warehousing (Postgres/Redshift/Big Query/Snowflake) and scientific standards/ontologies.
Cheminformatics (RDKit/Schrödinger/MOE) or bioinformatics (Biopython/Bioconductor).
Sci Py/Num Py and scientific computing for modeling/optimization; orchestration (Prefect/Airflow/Nextflow/WDL) and CI/CD.
Experience with compiled languages (C/C++ or others) for performance-critical workflows.

Benefits (if eligible)

Company bonus; comprehensive benefits including 401(k), pension, vacation, medical/dental/vision, flexible benefits, life insurance, time off/leave, and well-being benefits.

Locations

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

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