Job Title

Job Description Title: Postdoctoral Fellow Department: Windreich Department of Artificial Intelligence and Human Health Link to Lab: Details of Research Project: The Postdoctoral Fellow will work in the Liu Lab within the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. The lab focuses on developing interpretable artificial intelligence frameworks that integrate digital health data (e.g., wearable sensor time-series), genomics, and electronic health records to advance discovery in complex neurological and psychiatric disorders such as depression, ADHD, Parkinsonu2019s disease, and Alzheimeru2019s disease. The postdoc will contribute to projects involving large-scale digital phenotyping, multimodal data integration, time-series modeling, and AI-driven identification of biological and clinical markers of disease risk, progression, and treatment response. Qualifications Educational and Other Requirements for the Position: + PhD in Computer Science, Computational Biology, Bioinformatics, Statistics, Biomedical Data Science, Neuroscience, 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 time-series modeling, genomics, digital health, or multimodal data (preferred but not required) + Prior publication record in relevant fields Goals/Outcomes: + Develop novel interpretable AI and digital biomarker frameworks for neurological and psychiatric disorders + Create validated digital phenotypes from wearable data + Integrate genetic and clinical information to identify mechanisms and therapeutic targets + Prepare high-impact manuscripts and conference presentations + Advance scientific understanding of human health through data-driven methods Responsibilities Technical Duties: + Develop and implement AI/ML models for high-dimensional time-series, genomic, and clinical data + Perform data preprocessing, analysis, and integration across multiple modalities + Develop interpretable and explainable ML methods for biomedical applications + Contribute to computational pipelines, reproducible workflows, and internal tools + Prepare manuscripts, figures, and visualizations for publications and presentations + Collaborate with faculty, clinicians, and other researchers across Mount Sinai + Participate in lab meetings, seminars, workshops, and collaborative projects 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 Sinaiu2019s 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 u2014 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 patientsu2019 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