Postdoctoral Fellow-MSH-32910-033

Description Postdoctoral Fellow Department: Windreich Department of Artificial Intelligence and Human Health Link to Lab: [link in the portal] Details of Research Project The Postdoctoral Fellow will join the AIMs Lab within the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. The AIMs Lab develops innovative artificial intelligence methods that integrate multimodal biomedical data—including electronic health records, physiological waveforms, wearable device data, clinical text, medical imaging, genomics, and other multi-omic datasets—to improve precision medicine and patient care. Research spans predictive modeling, digital phenotyping, disease subtyping, clinical decision support, and AI-driven biomarker discovery, with applications across pediatric and adult populations. The postdoctoral fellow will contribute to the development of next-generation AI models that leverage large-scale clinical and biological data to better predict disease risk, monitor patients in real time, and identify new therapeutic opportunities. Projects may involve foundation models for healthcare, multimodal machine learning, representation learning, explainable AI, and translational applications that bridge computational research with clinical implementation. Responsibilities Technical Duties • Develop and implement AI/ML models for multimodal biomedical, physiological, and clinical data • Perform data preprocessing, analysis, and integration across multiple data modalities • Develop interpretable and explainable machine learning methods for biomedical applications • Contribute to computational pipelines, reproducible workflows, and internal software tools • Prepare manuscripts, figures, and visualizations for publications and presentations • Collaborate with faculty, clinicians, and researchers across Mount Sinai • Participate in lab meetings, seminars, workshops, and collaborative research projects • Participate in lab meetings, seminars, workshops, and collaborative projects Qualifications Educational and Other Requirements for the Position • PhD in Computer Science, Biomedical Informatics, Computational Biology, Bioinformatics, Statistics, Biomedical Data Science, Engineering, or a related quantitative field • Strong programming skills (e.g., Python, R) • Background in machine learning, deep learning, statistical modeling, or related areas • Experience working with large datasets and computational methods • Strong written and oral communication skills Experience Required • Demonstrated experience in AI/ML, data science, or computational biology • Experience with electronic health records, physiological data, wearable sensor data, genomics, medical imaging, clinical text, or multimodal biomedical data (preferred but not required) • Prior publication record in relevant fields Goals/Outcomes • Develop novel artificial intelligence methods for precision medicine and clinical prediction • Build multimodal AI models that integrate clinical, physiological, genomic, and wearable data • Discover clinically actionable biomarkers and improve disease stratification • Advance real-time patient monitoring and AI-driven clinical decision support • Prepare high-impact manuscripts and conference presentations • Advance scientific understanding of human health through data-driven methods     Employer Description 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 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.