Computational Neurogenomics / AI – Postdoctoral Associate

Computational Neurogenomics / AI – Postdoctoral Associate

Yale School of Medicine Adams Center for Parkinson’s Disease Research New Haven, USA

Join a mission-driven team at Yale to build a Parkinson’s Disease Discovery Engine—integrating genomics, multi-omics, and AI to generate digital twins of patients and deliver precision medicines at the right time for the right individual.

The Stephen & Denise Adams Center for Parkinson’s Disease Research and Scherzer Neurogenomics Lab combine population-scale human data (>30,000 deeply phenotyped participants), single-cell and spatial omics, and next-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs.

The role
Develop deep learning models across genome → cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute to therapeutic discovery  

You bring

PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience in genomics, single-cell data, or machine learning (preferred)  

Why this is exceptional
Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets worldwide Operate at the interface of AI, genomics, and clinical translation Join an interdisciplinary team spanning neurology, genetics, and machine learning  

Compensation
Highly competitive salary aligned with or exceeding top-tier U.S. postdoctoral benchmarks, with full Yale benefits and strong support for career development and independence.

Apply
clemens.scherzer@yale.edu
beatrice.weykopf@yale.edu

Learn more:
www.scherzerlaboratory.org
www.adamsparkinsoncenter.org