Help Define the Future of AI Neuroscience – Postdoctoral Fellow

Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine; New Haven (CT); On-site; USD 65,000 - 75,000; Full time

Benefits offered by this job

Full Yale benefits

Career development support

Job summary

The Stephen & Denise Adams Center for Parkinson’s Disease Research at Yale School of Medicine in New Haven invites applications for a Postdoctoral Fellow to advance AI neuroscience. Join a mission-driven team building a Parkinson’s Disease Discovery Engine integrating genomics, multi-omics, and patient data to enable precision medicine.

You will develop deep learning models, analyze single-cell and spatial data, and publish high-impact work, with Yale benefits and strong career development

Qualifications

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

Responsibilities

• 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.

Skills

Python

ML frameworks

First-author publications

Education

PhD in computer science, bioinformatics, computer science, or related field

Job description

Help Define the Future of AI Neuroscience - Postdoctoral Fellow

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 computer science, 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 exceeding top-tier U.S. postdoctoral benchmarks, with full Yale benefits and strong support for career development and independence.

Apply

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