- Singapore, Singapore, Singapore
- Full-time · Mid
Build and operate the scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data. Deliver reliable, traceable, and scalable pipelines and services to reduce manual handling and support analytics, computational biology, predictive modeling, and AI-supported discovery.
Responsibilities
- 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.
- Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls.
Requirements
- Bachelors degree
- Masters degree
- PhD degree
- Computer Science
- Data Engineering