Lead Physician Informaticist - Artificial Intelligence Ready Mount Sinai

The Mount Sinai Health System (MSHS) is one of the largest healthcare systems in the United States and is at the forefront of leveraging clinical excellence and cutting-edge technology to advance patient care, research, and innovation through data-driven insights. MSHS is home to Minerva, the world’s fastest supercomputer based in an academic medical center, and the Artificial Intelligence Ready Mount Sinai (AIR·MS) research platform. Both are part of a computational and data ecosystem that includes cohort query tools, AI agents, and thousands of applications. Several multi-modal data sources, such as electronic health record (EHR) data from our system-wide Epic instance, and millions of digital pathology slides are linked together and available for analytics, research, and quality improvement initiatives. AIR·MS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS.

We are seeking an engaged physician informaticist with expertise in computation, data analytics, AI, and U.S. healthcare data. The Lead Physician Informaticist partners with researchers and clinicians to ensure effective use of AIR·MS and the broader data ecosystem. In this collaborative, clinically driven role, you will bridge clinical, operational, and research needs across MSHS. Responsibilities include engaging with stakeholders to understand needs, identifying barriers, developing roadmaps, and supporting the deployment of new AIR·MS capabilities. You will also help translate complex research questions into actionable data queries and develop Python/R scripts to generate insights from the OMOP CDM warehouse.

Responsibilities:

• Leads researcher and clinician engagement, including needs assessment, communication planning, roadmap development, and user experience optimization.
• Partners 1:1 with clinicians, researchers, and analysts to refine questions and deliver tailored data solutions.
• Communicates complex data concepts clearly across varying levels of expertise.
• Designs, writes, and optimizes SQL queries and Python/R scripts against the OMOP CDM to extract and analyze clinical, revenue and research data.
• Educates, trains and mentors users on EHR data structures, OMOP CDM concepts, data limitations, cohort definition, cohort query tools, analytical tools and best practices for self-service analytics.
• Helps to support researchers to address various challenges associated with data use and analysis across the translational spectrum (T0 to T4).
• Oversees a user ticketing system and develops training sessions on health care data and data warehouses including the use of query tools and direct SQL.
• Validates data outputs for accuracy, completeness, and appropriateness.
• Identifies and communicates potential biases or limitations in EHR-derived data.
• Collaborates with technical, clinical, and compliance teams to improve functionality, data quality, and governance.
• Ensures compliance with regulations, institutional policies, and ethical standards in all data handling and dissemination.
• Contributes to documentation, standard query libraries, and training materials to enhance organizational data literacy.
• Has familiarity with modern artificial intelligence and machine-learning methodologies, including the use of supervised and unsupervised methods, large language models, and transformers.
• May manage a small number of staff as required.

Requirements:

• Bachelors degree in a technical discipline; Masters degree preferred
• 12-15 years preferred of related experience, including 8 years of demonstrated ability in technology area (clinical informatics at a healthcare system and/or in biomedical research)
• At least seven years of experience in clinical informatics at a healthcare system and/or in biomedical research.
• Understands and has expertise in a broad spectrum of clinical data types, transformations, concept mappings, and standards (such as OMOP Common Data Model, SNOMED, ICD, RxNorm, LOINC, and ontologies) used at academic medical centers.
• Demonstrated proficiency in SQL (including complex joins, stored procedures, window functions, and performance optimization) with experience querying large healthcare datasets, as well as using Python and R programming languages.
• Understands how to perform quality assurance and quality control assessments of queries, data, and data warehouses.
• Must have experience with HIPAA, Compliance and Cybersecurity requirements.
• Strong understanding of EHR data, including clinical workflows, documentation practices, and common data quality issues in EHR derived data.
• Familiarity with Epic Clarity and Caboodle data models is preferred.
• Experience preferred with a variety of multi-modal data including but not limited to: Radiology DICOM tags, Pathology metadata, genomic/WES, return of genetic results.
• Understands best practices for software development lifecycles.
• Experience working with students, residents, fellows, staff, faculty, administrators with different levels of technological and medical expertise in a large academic medical system.
• Effective communication and collaboration skills.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next 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 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.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.