Postdoctoral Fellow-MSH
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
We are inviting applications for a Postdoctoral Research Fellowship position in artificial intelligence and machine learning with a specific interest in applications for cardiovascular diagnostics (imaging ECG). This work will focus on translational research of state-of-the-art AI methods to fetal pediatric and adult congenital cardiology populations.
Apply: To apply please submit a CV brief cover letter along with contact information of referrals to @. We offer competitive compensation a vibrant/supportive work environment and a series of perks as outlined below.
Background:This position will be in the lab of Dr. Son Duong in the Department of Artificial Intelligence and Human Health in theIcahn School of Medicine at Mount Sinai in Manhattan New York NY USA. Examples of our work can be foundhere andhere.
Key topics of interest include but are not limited to: Harnessing cardiovascular imaging data for development of deep learning AI models for disease outcomes and personalized therapeutic recommendations; Development of multi-modal (e.g. waveform imaging and clinical data) deep learning for clinical decision support; Translation of foundational vision language models and agentic AI to the cardiovascular bedside; Implementation and comparative effectiveness of AI in cardiovascular medicine and practice.
Responsibilities
Data and Resources
The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include:
- Access to millions of cardiovascular diagnostic images (echocardiography fetal echocardiography cardiac MRI and cardiac CT) and waveforms (ECG and continuous telemetry) across the Mount Sinai Health System.
- Access to >8 million patient electronic health records cross linked with imaging and outcome data through AI-Ready Mount Sinai (AIRMS).
- World-classhigh-performance compute cluster with extensive GPU availability to support state-of-the-art model training and inference
The candidates will have the opportunity to develop their own research projects and to lead or participate in multicenter collaborations. As advisors we actively encourage the professional development of our lab members and facilitate presentation of exciting findings in pioneering conferences.
The postdoctoral fellow will join a dynamic team of data scientists engineers and clinicians to participate in unique opportunities to apply machine learning for important scientific breakthroughs and to directly impact patients lives in a clinical setting.
Qualifications
The ideal candidates will have the following background:
Qualifications:
1. PhD or MD/PhD in a computational science-related field (e.g. biomedical informatics clinical informatics machine learning etc.)
2. Significant experience in machine learning techniques is required ideally with published work and/or code available. Experience with deep learning frameworks (e.g. Tensorflow Keras PyTorch) and platforms (e.g. HuggingFace libraries) is expected.
3. Prior experience in computer vision is desired and familiarity with natural language processing and large language model implementation is desired.
4. Expertise with programming and statistics in Python.
5. Excellent publication track record including conference papers and preprints.
6. Strong communication and presentation skills with fluency in spoken and written English.
Perks: Information on thePostdoctoral Training Program at Mount Sinai.To learn more about theIcahn School of Medicine at Mount Sinai. Incoming post-doctoral fellows are eligible for affordableMount Sinai Housing within walking distance of the medical school and of a wide range of amenities as well as visa sponsorship on a case-by-case basis.
About Our Organization: The Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education.Ranked 11th nationwide in National Institutes of Health (NIH) funding the Icahn School of Medicine at Mount Sinai is among the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. More than 4500 scientists educators and clinicians work within and across dozens of academic departments and multidisciplinary institutes with an emphasis on translational research and therapeutics.Mount Sinai Medical Center is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds. Mount Sinai Medical Center--An EEO/AA-D/V Employer.
Keywords: Deep Learning Computer Vision Waveform analysis Large Language Models Cardiovascular Imaging Pediatrics Cardiology Machine Learning Data science Electronic Health Records Electronic Medical Records Computer Vision Artificial Intelligence Multi-omics Common Data Models Causal Inference Time Series Analysis Predictive modeling Deep Learning Natural Language Processing Large Language Models Generative Modeling Python Precision Medicine Personalized Medicine.
Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
About Company
Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled ... View more
