Job Title

Job Description We are seeking a postdoctoral fellow to focus on time-series modeling and wearable/mobile health data in the context of womenu2019s health. The fellow will design and evaluate AI methods for high-frequency, longitudinal, and real-world data streams, with the goal of enabling translational insights in collaboration with clinicians and data scientists. Qualifications Requirements + PhD in computer science, biomedical informatics, electrical engineering, statistics, or related field. + Strong expertise in time-series modeling, wearable/mobile health analytics, or longitudinal data analysis. + Proficiency in Python and PyTorch. + Demonstrated publication record in ML/AI or computational health. + Strong communication and teamwork skills. Preferred + Experience with clinical or biomedical datasets. + Familiarity with FHIR standards. + Background in multimodal learning or representation learning. Environment Heavy menstrual bleeding affects nearly one in three women of reproductive age and is a leading cause of iron deficiency worldwide. Yet it remains one of the most under-recognized challenges in medicine. Our lab at the intersection between the Artificial Intelligence and Human Health Department and the Department for Obstetrics, Gynecology and Reproductive Sciences at Mount Sinai has been awarded a Wellcome Leap _Missed Vital Sign_ grant to change this. We are building a new, interdisciplinary group at the intersection of AI, human health, and obstetrics & gynecology. Our mission is to harness state-of-the-art methods in machine learning and multimodal data integration to close critical gaps in womenu2019s healthu2014and to translate these advances into solutions that matter for patients and clinicians. As a founding member, you will help shape a lab designed for openness, collaboration, and translation. You will have access to unique resources including Mount Sinaiu2019s genome-linked EHR biobank (the Sinai Million), AIRMS (AI-ready Mount Sinai Integrated Data and Analytics Platform), the Minerva HPC cluster, and eHive, a digital platform for wearable and real-world data collection. Partnerships with the Hasso Plattner Institute in Germany create further opportunities for international collaboration. This is a chance to join at the ground level of a lab committed to impact: bringing computational innovation directly into womenu2019s health. Responsibilities + Develop and refine machine learning methods for wearable, mobile health, and longitudinal data. + Design robust approaches to handle missingness, irregular sampling, and multimodal integration. + Collaborate with clinical partners to ensure models are interpretable and clinically actionable. + Lead manuscripts, presentations, and contributions to open-source pipelines. 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