Mount Sinai Health System · 4 hours ago

Postdoctoral Fellow-MSH-13400-344

United States

Full-time

Remote

Mid Level

$72K/yr - $80K/yr

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Responsibilities

Conduct empirical studies in computational psychiatry, analyze multimodal datasets, and synthesize insights to support hypothesis-driven research and evidence-based treatment strategies.

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.

Work collaboratively within an interdisciplinary team, and contribute to mentoring junior researchers, including graduate students and research assistants.

Qualification

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Computational PsychiatryMachine LearningNatural Language ProcessingPythonMATLABDeep LearningData AnalysisTensorFlowPyTorchBiomedical Research MethodologiesResearch Publications

Required

Ph.D. in Computer Science, Machine Learning, Data Science, Biomedical Informatics, Electrical Engineering, or a related field.

Demonstrated experience in one or more of the following areas: computational psychiatry, machine learning, and natural language processing.

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.

Excellent data analysis skills and familiarity with methodologies used in biomedical research.

Strong written and verbal communication skills, with a proven track record of research publications.