Computational Neurogenomics / AI – Postdoctoral Associate
The Scherzer Lab at Yale School of Medicine seeks a Postdoctoral Associate to build AI-driven digital twins of Parkinson's disease patients by integrating genomics, transcriptomics, single-cell spatial multi-omics, biosensor data, and electronic health records. The role involves developing deep learning models across the genome-to-cell-to-patient spectrum and leading high-impact publications toward therapeutic discovery. Requires a PhD in computational biology, bioinformatics, or computer science, strong Python skills, an ML framework background, and a first-author publication record. Closing date: 1 July 2026.
Computational Neurogenomics / AI – Postdoctoral Associate – Yale School of Medicine
Location: New Haven, Connecticut, USA | PI: Clemens Scherzer | Type: Full-time, fixed-term | Salary: Highly competitive, top US postdoctoral benchmarks + full Yale benefits | Closing Date: 1 July 2026
Key Responsibilities
- Develop deep learning models spanning the genome-to-cell-to-patient spectrum
- Integrate multi-modal data: genomics, transcriptomics, biosensors, electronic health records
- Conduct single-cell and spatial multi-omics analyses at scale
- Lead high-impact publications and contribute to therapeutic discovery efforts
Required Qualifications
- PhD in computational biology, bioinformatics, computer science, or related field
- Strong Python programming; ML framework proficiency preferred
- First-author publication record
- Experience in genomics, single-cell data analysis, or machine learning preferred
Contact: clemens.scherzer@yale.edu or beatrice.weykopf@yale.edu