Position Details
About this role
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.
Key Responsibilities
- Design data pipelines and APIs
- Build scientific software
- Collaborate with scientists
- Ensure data FAIR compliance
- Support automation initiatives
Technical Overview
The technical environment includes data pipelines, RESTful APIs, microservices, PostgreSQL, Redshift, and scientific data management tools, with a focus on automation and AI integration.
Ideal Candidate
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.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with scientific data pipelines, No experience with APIs or data infrastructure, No biotech or healthcare background
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