Location: New York,NY, USA
Description The Mount Sinai Surgical Center for Artificial Intelligence was founded to pioneer the use of artificial intelligence and precision medicine to power data-driven solutions that will improve the health outcomes of surgical patients and advance surgical innovation for generations to come. This role will work at the intersection of clinicians, researchers, and scientists at the Mount Sinai Health System. Responsibilities Will play a direct role in developing a data science and digital health hub that catalyzes translational research to deploy data science based digital tools into clinical practice. Helps derive insights from real-world clinical data that can be used to improve clinical practice Partners with clinicians, researchers and students on clinical research projects across the Department of Surgery that directly impact patient care. Will work with electronic health record data from millions of patients with a diverse range of backgrounds and clinical conditions using a variety of data science techniques. Qualifications BS or MS in Data Science, Computer Science or Clinical Informatics (or equivalent in work experience). Previous experience with clinical data is preferred but not necessary Significant expertise with programming and statistical software experience in R, Python, SQL Expertise using machine learning techniques (i.e., random forests, gradient boosted trees, deep neural networks) for predictive modeling, subtyping (supervised and unsupervised) and other data science activities Experience with natural language programming using a variety of techniques Strong written and oral presentation skills including comfort with complex technical concepts to a variety of audiences. Experience with bio-statistical and epidemiological study designs and analytical frameworks is preferred Familiarity with electronic health record (EHR) data, common data model platforms (e.g., OMOP) and clinical ontologies (e.g., SNOMED including ICD-9/10, LOINC, RxNorm, UMLS, CPT codes, etc.) is preferred. Non-Bargaining Unit, 862 - Surgery - ISM, Icahn School of Medicine Employer Description Strength Through Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai's unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential. Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination. Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally. Explore more about this opportunity and how you can help us write a new chapter in our history! About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism. EOE Minorities/Women/Disabled/Veterans Compensation The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $87692 - $131538 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
BS or MS in Data Science, Computer Science or Clinical Informatics (or equivalent in work experience). Previous experience with clinical data is preferred but not necessary Significant expertise with programming and statistical software experience in R, Python, SQL Expertise using machine learning techniques (i.e., random forests, gradient boosted trees, deep neural networks) for predictive modeling, subtyping (supervised and unsupervised) and other data science activities Experience with natural language programming using a variety of techniques Strong written and oral presentation skills including comfort with complex technical concepts to a variety of audiences. Experience with bio-statistical and epidemiological study designs and analytical frameworks is preferred Familiarity with electronic health record (EHR) data, common data model platforms (e.g., OMOP) and clinical ontologies (e.g., SNOMED including ICD-9/10, LOINC, RxNorm, UMLS, CPT codes, etc.) is preferred. Non-Bargaining Unit, 862 - Surgery - ISM, Icahn School of Medicine
Will play a direct role in developing a data science and digital health hub that catalyzes translational research to deploy data science based digital tools into clinical practice. Helps derive insights from real-world clinical data that can be used to improve clinical practice Partners with clinicians, researchers and students on clinical research projects across the Department of Surgery that directly impact patient care. Will work with electronic health record data from millions of patients with a diverse range of backgrounds and clinical conditions using a variety of data science techniques.