Postdoctoral Fellow-MSH-32910-033
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
Compensation Statement
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $74,692.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), J18 - AI and Human Health - ISM, Icahn School of Medicine