Build the virtual human heart data engine with us

Computational discovery

Computational Biologist / ML Engineer (Foundation Models)

• Build and train the heart-failure foundation model on paired molecular and spatial data.
• Develop sequence transformers and spatial graph neural networks.
• Advance deconvolution of cell-free RNA/DNA into cell-specific, spatially resolved signals.

Experimental discovery

Spatial Omics Scientist (Research & Development)

• Run in-house spatial transcriptomics on heart-failure models.
• Generate rigorous preclinical ground truth with paired blood-and-tissue data.
• Scale reproducible workflows at the intersection of tissue biology and high-throughput omics.

Scientific & commercial strategy

Advisory Board Member

• Shape the diagnostics-to-theranostics-to-out-licensing strategy.
• Guide translational priorities, partnerships, and commercial development.
• Help turn an emerging data platform into durable precision-medicine value.