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Stanford University

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Postdoctoral Fellow in AI, Multi-Omics, and Heart Failure Discovery at Stanford University Stanford University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Stanford University

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Keywords

Computer Science
Biomedical Engineering
Cardiology
Medical Imaging
Biology
Artificial Intelligence
Computational Biology
Heart Failure
Medical Science
Causal Inference
Omics
Genetic
Statistics
Bioinformatic
Machine learning

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About this position

Stanford University is advertising an open postdoctoral position with faculty mentor Euan Ashley and mentor Bruna Gomes in the School of Medicine, Department of Cardiovascular Medicine.

The project is titled Postdoctoral Fellow in AI, Multi-Omics, and Heart Failure Discovery. The fellow will work at the intersection of cardiovascular medicine, biomedical data science, artificial intelligence, genetics, imaging, and multi-omics discovery. Research includes developing and applying computational approaches to study heart failure mechanisms and therapeutic targets using large-scale human datasets such as cardiovascular imaging, genetics, omics, EHR data, and clinical outcomes.

Ongoing work builds on deep-learning phenotypes from cardiovascular imaging at population scale and extends toward myocardial tissue remodeling, fibrosis-enriched imaging phenotypes, multi-omic causal discovery, and AI-enabled target prioritization. The fellow may also contribute to scientific discovery agents and AI-assisted workflows for biomedical research, including collaborative efforts within the NHLBI AI Data Science Center focused on AI-enabled precision medicine across heart, lung, blood, and sleep disorders.

Required qualifications include a PhD, MD, MD/PhD, or equivalent doctoral degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Preferred experience includes large-scale human datasets, machine learning, statistical genetics, causal inference, multi-omics, cardiovascular imaging, Python or R programming, and scientific writing. Cardiovascular medicine experience is welcome but not required.

The appointment term is one year with an option to reappoint. The expected base pay is the Stanford University required minimum for postdoctoral scholars; the FY27 minimum is $79,056.

To apply, email your CV to Bruna Gomes at [email protected] and include a brief cover letter plus 2-3 references.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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