Flex Staff - Windreich Department of Artificial Intelligence & Human Health

The Flex Staff will work in Ensari Lab within the Department of AI and Human Health and primarily work on EHR-based and genomic data analyses using the Mt Sinai data warehouse (MSDW). Our group conducts research in the intersection of biomedical informatics, artificial intelligence, and women’s health. Currently, we are using patient-generated data (e.g., wearables, sensors, electronic health records) and large language models (LLMs), along with genomic variables, to investigate female reproductive disorders. The ideal candidate will possess a combination of technical, domain-specific, and soft skills to analyze complex datasets, evaluate data quality, and communicate insights clearly to technical and non-technical stakeholders. The candidate will primarily work on a pilot study that is funded by the Women’s Biomedical Health Research Institute at Mount Sinai.

• Extract patient-generated health data from MSDW and genotypic and phenotypic data from BioMe Bank, ensuring data integrity, privacy, and security.
• Communications with research coordinators and staff at MSDW regarding data integrity and acquisition (as needed)
• Collaborate with postdoctoral fellows and students in the lab in the training, fine-tuning, and evaluation of large language models 
• Process, clean, and organize large datasets, making them suitable for analysis and modeling.
• Collaborate with postdoctoral fellows and students in data analysis and implementing new methods for analyzing genomic data and LLM-based research
• Work closely with healthcare professionals to understand the context and implications of data findings 
• Conduct literature reviews on the project topic to inform the research methods and contextualize findings

• Depending on the role, a minimum of a high school diploma or GED is required as per MS Health System hiring policy. Otherwise, Bachelors, Masters or Ph.D as applicable.
• Prior experience in a quantitative methodology-based research lab or research environment
• Basic understanding of statistical methods, machine learning concepts, with a willingness to learn and apply new techniques as needed
• Excellent communications skills, ability to work collaboratively in a multi-disciplinary environment, strong problem solving 

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Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

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