Description

You will develop and apply AI/ML approaches to integrate multi-omics datasets for organoid characterization and quality assessment. You'll create computational frameworks to assess organoid fidelity, predict functional outcomes, and identify optimal culture conditions through sophisticated data integration strategies.

Requirements

• PhD in computational biology, bioinformatics, computer science, or related quantitative field
• Demonstrated experience applying AI/ML methods to biological systems

Responsibilities

• Design and implement machine learning algorithms integrating genomics, transcriptomics, proteomics, and metabolomics data for organoid characterization
• Develop predictive models assessing organoid quality and functionality based on molecular signatures
• Identify biomarkers correlating with successful organoid development
• Create computational tools to compare organoid characteristics across protocols and laboratories
• Collaborate with experimental teams to validate predictions and translate findings into protocol improvements