Postdoctoral Fellow-MSH-12909-042
About The Position
The postdoctoral fellow with the sleep and circadian analysis (SCAN) group led by Dr. Parekh will work at the intersection of AI/ML and Sleep. They will work with large-scale, multimodal sleep datasets, including polysomnography, actigraphy, wearable signals, and clinical EHR data, to build and validate state-of-the-art machine learning models. The work is both technically ambitious and clinically meaningful, with direct implications for diagnosing and treating sleep disorders such as insomnia, sleep apnea, and circadian rhythm disorders. Fellow will also be responsible for developing pipelines for integration of the built models into clinical pipelines at Mount Sinai.
Requirements
- PhD degree in a computational field (e.g., AI, Computer Science, Math)
- Experience in sleep research
- Experience in clinical studies
- Experience in data cleansing, statistical analysis, manuscript writing.
Nice To Haves
- Advance knowledge of sleep medicine is a plus
Responsibilities
- Designs and executes scientific experiments.
- Regular presentation of data in lab meetings, seminars, and national/international meetings
- Provides data for grant submissions and progress reports for NIH and foundations.
- Analyzes and interprets research results and the scientific literature in connection with writing or editing high-quality grant fellowship applications, manuscripts, etc.
- Helps other researchers translate data results into a manuscript format and propel them to publication.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
