- Singapore, Singapore
- Full-time
Build and operate scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data.
Responsibilities
- Engineer Scientific Data Pipelines
- Build scalable pipelines to ingest, transform, standardize, and connect scientific data
- Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer, and performance datasets
- Automate data movement into governed analytical environments
- Translate approved data-product requirements into maintainable technical designs
Requirements
- Bachelor's in Computer Science
- Master's in Computer Science
- PhD in Computer Science
- Bachelor's in Data Engineering
- Master's in Data Engineering