Postdoctoral Fellow-MSH-32910-032

Postdoctoral Research Fellowship in Machine Learning, Artificial Intelligence, and Computational Biology for Human Disease Genomics

CBIPM, AIHH, GGS

Icahn School of Medicine at Mount Sinai 

We are seeking applications for a Postdoctoral Research Fellowship in Human Disease Genomics, Artificial Intelligence (AI) and Machine Learning (ML), developing model to predict models to predict the functional effects of genetic variants, and to conduct large-scale Phenome-Wide Association Studies (PheWAS) in major biobanks. This fellowship will be jointly hosted by the Charles Bronfman Institute for Personalized Medicine (CBIPM), the the Windreich Department of Artificial Intelligence and Human Health (AIHH) and the Genetics and Genomic Sciences (GGS) departments at the Icahn School of Medicine at Mount Sinai in New York, NY.

We are dedicated to advancing precision medicine through cutting-edge AI techniques and human disease genomics discovery research. Key research areas of interest include, but are not limited to: developing AI/ML methods to predict disease-specific causal variants and genes, utilizing LLM and computational approaches to generate extensive databases of gain- and loss-of-function functional variants in various categories, and performing PheWAS in the Mount Sinai Million Discovery Program (MSM) biobank combined with other leading biobanks (All of Us, UK Biobank, and Million Veterans Programs) across various human populations, traits and clinical measurements utilizing electronic health records (EHR) data.

Dr. Yuval Itan will supervise the successful candidate. The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include (a) Access to >10 million patient records in the Mount Sinai Data Warehouse with multi-modal data; (b) The Mount Sinai Million health Discoveries Program with >100,000 patients with whole exome sequencing data linked to longitudinal clinical data; (c) Ability to deploy the models into clinical care. He or she will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations. As an advisor, Dr. Itan actively encourages the professional development of his lab members and facilitates presentation of exciting findings in pioneering conferences.  

The postdoctoral fellow will join a dynamic team of data scientists, geneticists, and clinicians and participate in unique opportunities to apply cutting-edge computational and statistical techniques for important scientific breakthroughs and to directly impact patients’ lives in a clinical setting. 

The ideal candidates will have the following background: 

1. Ph.D., M.D., or equivalent doctorate in computational biology, human genetics, disease genomics, population genetics, bioinformatics, or a related field.

2. Proficiency in programming (e.g., Python) and statistical computing (e.g., R).

3. Excellent publication record.

4. Strong communication and presentation skills with fluency in spoken and written English. 

Information on the Postdoctoral Training Program at Mount Sinai: To learn more about the Icahn School of Medicine at Mount Sinai: postdoctoral fellows are eligible for affordable Mount 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. With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2015 "America’s Best Graduate Schools" issue, U.S. News & World Report ranks the Icahn School of Medicine 14th out of 130 medical schools nationwide. 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: Artificial Intelligence, Machine Learning, Deep Learning, Phenome-Wide Association Studies, Genome-Wide Association Studies, Biobanks, Computational Biology, Bioinformatics, Genomics, Genetics, Electronic Health Records, Electronic Medical Records, Network Biology, Predictive modeling, Data Science, Clustering, R, Python, Precision Medicine, Personalized Medicine.

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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.

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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

The Mount Sinai Health System (MSHS) provides salary ranges that 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 operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.