Computational Neurogenomics / AI – Postdoctoral Associate
tendersglobal, New Haven, CT, United States
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 Parkinson’s disease 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
Email clemens.scherzer@yale.edu and beatrice.weykopf@yale.edu.
Learn more
www.scherzerlaboratory.org
www.adamsparkinsoncenter.org
#J-18808-Ljbffr
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 Parkinson’s disease 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
Email clemens.scherzer@yale.edu and beatrice.weykopf@yale.edu.
Learn more
www.scherzerlaboratory.org
www.adamsparkinsoncenter.org
#J-18808-Ljbffr