Postdoctoral Fellow-MSH-32910-028

Mount Sinai Health System • New York, NY

7d

About The Position

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.

Requirements

• 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
• Demonstrated experience in AI/ML, data science, or computational biology
• Prior publication record in relevant fields

Nice To Haves

• Experience with time-series modeling, genomics, digital health, or multimodal data (preferred but not required)

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees