Postdoctoral Fellow-MSH-13400-376

Description Salary: $74,692    Department: Psychiatry    Physical work location: (must be proper street address): 3 East 101 Street, 10th floor, New York, NY, 10029   Name PI or Supervisor: (include phone and email) Guillermo Cecchi   Web link to Lab: n/a   Web link to Department: [link in the portal]   Administrative Contact: (phone and email) Abigail Polanco, [contact in the portal] Responsibilities Details of Research Project:  This new initiative is focused on using behavioral measures and computational methods to define novel clinical signatures that can be used for individual-level prediction and clinical decision making in treating mental disorders. The importance of this new NIMH program was highlighted in a recent news update issued by the White House Office of Science and Technology. This study, titled, “Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)”, will use objective, scalable, and cost-effective measurements to define novel clinical signatures that can be used for individual-level prediction and clinical decision-making in treating mental health disorders.    Join us in exploring innovative approaches to intelligence, where AI and human cognition converge to tackle pressing issues in healthcare and beyond.   Technical Duties: (include any protocols)   • Research & Analysis: Conduct empirical studies in computational psychiatry, analyze multimodal datasets, and synthesize insights to support hypothesis-driven research and evidence-based treatment strategies. • Machine Learning & Natural Language Processing Research: Develop and apply machine learning and natural language processing models to analyze textual, audio, and visual data to understand important clinical measures such as engagement, rehospitalization, and other clinical outcomes. • Collaboration and Mentorship: Work collaboratively within an interdisciplinary team, and contribute to mentoring junior researchers, including graduate students and research assistants. Qualifications Educational and other Requirements for the position:   Education: Ph.D. in Computer Science, Machine Learning, Data Science, Biomedical Informatics, Electrical Engineering, or a related field. ? Research Background: Demonstrated experience in one or more of the following areas: computational psychiatry, machine learning, and natural language processing. ? Technical Skills: Proficiency in programming languages such as Python or MATLAB, and experience with deep learning and natural language processing frameworks (e.g., TensorFlow, PyTorch) is highly desirable. ? Analytical Abilities: Excellent data analysis skills and familiarity with methodologies used in biomedical research. ? Communication Skills: Strong written and verbal communication skills, with a proven track record of research publications.   Experience Required:   SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 859 - Psychiatry - ISM, Icahn School of Medicine 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 t