Mount Sinai Hospital

Postdoctoral Fellow-MSH-32910-015

Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Biomedical Informatics, Computer Science, Computational Biology, or related field.
  • Experience in healthcare AI, biomedical NLP, and multi-modal data integration.
  • Proficiency in Python and machine learning frameworks.
  • Familiarity with EHR systems, medical coding, and large-scale clinical datasets.
  • Strong publication record in relevant research areas.

Responsibilities

  • Apply large language models for cognitive score extraction from clinical notes.
  • Build and validate predictive models using EHR and genomic data.
  • Conduct phenotype creation and feature engineering for model optimization.
  • Collaborate with multidisciplinary teams across clinical, informatics, and data science domains.
  • Publish research findings in high-impact journals and present at scientific conferences.

Benefits

  • Access to advanced research facilities and resources at a leading academic medical center.
  • Opportunities for professional development and growth within a multidisciplinary team.
  • Involvement in impactful research that shapes the future of healthcare.
  • Supportive work environment committed to diversity and inclusion.
  • Contribution to high-quality patient care through innovative AI applications.
Full Job Description
Job Description

Position: Postdoctoral Fellow - AI in Healthcare
Salary: $90,000/year
Location: Icahn School of Medicine at Mount Sinai, New York, NY
Lab Website: https://icahn.mssm.edu/about/artificial-intelligence

Overview:
The Icahn School of Medicine at Mount Sinai seeks a Postdoctoral Fellow to join its Artificial Intelligence & Human Health initiative, focusing on predictive modeling for cardiovascular disease (CVD) and mild cognitive impairment (MCI) using EHR and biobank data. This position will leverage advanced NLP and deep learning to extract and harmonize phenotypic variables from unstructured and structured data for the DORIAN GRAY project.

Responsibilities

  • Apply large language models for cognitive score extraction from clinical notes.
  • Build and validate predictive models using EHR and genomic data.
  • Conduct phenotype creation and feature engineering for model optimization.
  • Collaborate with multidisciplinary teams across clinical, informatics, and data science domains.
  • Publish research findings in high-impact journals and present at scientific conferences.


Qualifications

Qualifications:
  • PhD in Biomedical Informatics, Computer Science, Computational Biology, or related field.
  • Experience in healthcare AI, biomedical NLP, and multi-modal data integration.
  • Proficiency in Python and machine learning frameworks.
  • Familiarity with EHR systems, medical coding, and large-scale clinical datasets.
  • Strong publication record in relevant research areas.


About Mount Sinai Hospital

Mount Sinai Hospital is a hospital network based in New York City. It was founded in 1852 and is one of the oldest and largest teaching hospitals in the United States. The hospital has been ranked among the top hospitals in the country by U.S. News & World Report and is known for its excellence in patient care, research, and education. Mount Sinai Hospital is affiliated with the Icahn School of Medicine at Mount Sinai and has a staff of over 7,000 physicians, nurses, and other healthcare professionals.
Learn more about Mount Sinai Hospital
Size
42,000 employees
Industry
Founded
1997

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