- Design, build, and maintain reproducible pipelines for diverse biomedical data types including genomic, transcriptomic, single-cell, spatial, proteomic, and clinical datasets.
- Support NCI CBIIT labs in analysis workflows such as bulk and single-cell RNA-seq, and Digital Spatial Profiling.
- Enable reliable data movement, ingestion, curation, and provenance tracking for long-term maintainability.
- Apply statistical and ML methods like regression, clustering, PCA, UMAP, and classification to biomedical datasets.
- Build and support interactive dashboards, notebooks, reports, and APIs for researchers.
- Partner with data scientists, researchers, and government stakeholders to translate scientific needs into technical solutions.
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