Iluma Alliance

Data Engineer

• Own scientific data semantics: metadata logic, IDs, experiment keys, joins, and consistency across projects
• Translate scientific outputs into well-defined analytical datasets that preserve biological meaning
• Ensure datasets are analysis-ready, safe, and comparable (baseline vs intervention, customer vs benchmarks)
• Enable technical sales & claims: shape datasets and queries that accelerate recommendations and mechanistic claims
• Support R&D decisions: strengthen data practices that guide strain/formulation prioritization and experimental design
• Design privacy-preserving exposure: define safe keys, pseudonymization rules, and controlled mappings
• Lead cross-team delivery: bridge Biology/R&D and Data/Software (priorities, timelines, validation)
• Promote AI-native workflows: use AI tools to accelerate cleaning, QA, documentation, and repeatable analysis templates