**Job Description** 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 son.duong@mssm.edu. 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 the Icahn School of Medicine at Mount Sinai (https://icahn.mssm.edu/) in Manhattan, New York, NY, USA. Examples of our work can be found here (https://theaimslab.com/publications/) and here (https://www.ncbi.nlm.nih.gov/myncbi/1dKr8xyY6IVAz/bibliography/public/) . 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. **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 the Postdoctoral Training Program at Mount Sinai. (https://icahn.mssm.edu/education/postdoc) To learn more about the Icahn School of Medicine at Mount Sinai (http://icahn.mssm.edu/) . Incoming post-doctoral fellows are eligible for affordable Mount Sinai Housing (https://icahn.mssm.edu/education/postdoc/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 4,500 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. **Responsibilities** **Data and Resources** The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include: 1. 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. 2. Access to >8 million patient electronic health records cross linked with imaging and outcome data through AI-Ready Mount Sinai (AIRMS (https://labs.icahn.mssm.edu/airms/) ). 3. World-class h igh-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. **About Us** **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 legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. **About the Mount Sinai Health System:** Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. **Equal Opportunity Employer** The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. **Compensation Statement** Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.