✦ Luna Orbit — Data & Analytics

Scientific Software Developer, Data Foundry

at Eli Lilly

📍 5 Locations Unknown Posted March 18, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves developing scientific data pipelines, APIs, and tools to support AI-native drug discovery efforts within Lilly’s Data Foundry team. The focus is on building scalable, FAIR-compliant data infrastructure for research scientists.

  • Design data pipelines and APIs
  • Build scientific software
  • Collaborate with scientists
  • Ensure data FAIR compliance
  • Support automation initiatives

The technical environment includes data pipelines, RESTful APIs, microservices, PostgreSQL, Redshift, and scientific data management tools, with a focus on automation and AI integration.

The ideal candidate is a mid-level data engineer with experience in building scientific data pipelines, developing APIs, and working with scientific datasets in healthcare or biotech environments. They should have strong problem-solving skills and familiarity with automation and data infrastructure.

Designbuildand maintain data processing pipelinesDevelop RESTful APIsWork with scientific datasetsBuild scientific softwareTranslate scientist needs into prototypes
AI-native drug discoveryData governanceAutomation softwareAI and machine learningData connectivity
PostgreSQLRedshiftLIMSELNsAPIsAutomation tools
scientific softwaredata pipelinesAPIsmicroservicesPostgreSQLRedshiftELNsLIMSautomationdata infrastructurePython
PythonRESTful APIsMicroservicesData pipelinesPostgreSQLRedshiftELNsLIMSAutomationData infrastructureScientific software
CommunicationCollaborationProblem-solvingTeamworkAdaptability
Industry Healthcare IT
Job Function Developing data infrastructure and scientific software for drug discovery
Role Subtype Data Engineer
Tech Domains PostgreSQL, Redshift, APIs, Data pipelines, Scientific software
Scientific Software DeveloperData pipelinesAPIsMicroservicesPostgreSQLRedshiftELNsLIMSAutomationData infrastructureScientific datasetsAI-native drug discoveryData connectivityData governancePythonscientific softwaredata pipelinesmicroservicesautomationdata infrastructure

Lack of experience with scientific data pipelines, No experience with APIs or data infrastructure, No biotech or healthcare background

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