Postdoctoral Fellow-MSH
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Title: Postdoctoral Fellow
Department: Windreich Department of Artificial Intelligence and Human Health
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 Parkinsons disease and Alzheimers 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.
Responsibilities
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
Qualifications
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
Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
About Company
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 ... View more
