Postdoctoral Fellow-MSH-13400-344

Appointment Term (and whether reappointment is possible)-TBD

 Starting date-TBD

Location of appointment-3 East 101 Street, 10th floor, New York, NY, 10029

Lab and department websites-

Lab: https://www.bytesofminds.com/

Website: https://icahn.mssm.edu/about/departments-offices/psychiatry

 Wages or salary; and benefits-$73,588-$80K

We are seeking a talented Postdoctoral Researcher to join our multidisciplinary team focused on advancing computational approaches to understanding the critical factors impacting mental health care. This role offers a unique opportunity to engage in cutting-edge research at the intersection of natural language processing (NLP), AI, and psychiatry by analyzing data from a newly funded large-scale U01 grant funded through NIMH’s Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACTMH; https://www.nimh.nih.gov/about/director/messages/2023/making-an-impact-on-precision-medicine-in-psychiatry). https://reporter.nih.gov/search/9pb0zOfgl0WX7WJ2RDHdtA/project-details/10877461

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. 

About Lin Lab (The Bytes of Minds Lab): 

Lin Lab (linlab.org), also known as the Bytes of Minds Lab, is an interdisciplinary research group in Computational Psychiatry and Neuro-AI, directed by Prof. Baihan Lin at the Icahn School of Medicine at Mount Sinai within the departments of AI, neuroscience, and psychiatry. Based within New York’s largest health system (Mount Sinai), our mission is to advance neuro-inspired AI systems capable of learning, adapting, and reasoning like the human brain. By integrating neuroscience, cognitive science, machine learning, and human-computer interactions, we develop intelligent systems that address complex challenges, interact naturally with humans, and enhance our understanding of mental health. 

Our research spans computational psychiatry, reinforcement learning, neuro-inspired and neurosymbolic AI, multi-modal and generative AI, brain-computer interfaces, robotics, and mixed-reality interfaces. We are particularly passionate about using these technologies to promote mental well-being and to pioneer tools in computational and digital psychiatry. 

Join us in exploring innovative approaches to intelligence, where AI and human cognition converge to tackle pressing issues in healthcare and beyond.

Key Responsibilities:

• 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.

Opportunities

                   • Contribute to high-impact research at the intersection of AI/NLP and psychiatry.

                   • Work with a leading computational research team in collaboration with clinicians in psychiatry department.

                    • Access to extensive datasets and state-of-the-art research facilities.

                     • Access to weekly mentorship and research sponsorship.

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.

Compensation Statement

The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $73,588.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

, 859 - Psychiatry - ISM, Icahn School of Medicine

EOE Minorities/Women/Disabled/Veterans

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:  

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization.  We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.

 Explore more about this opportunity and how you can help us write a new 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 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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.

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.”

EOE Minorities/Women/Disabled/Veterans