Postdoctoral Fellow-MSH-32910-028

Title: Postdoctoral Fellow

Department: Windreich Department of Artificial Intelligence and Human Health

Link to Lab: https://liujlab.org

 

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, Parkinson’s disease, and Alzheimer’s 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.

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

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

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.

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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 wor