Lead Physician Informaticist - Artificial Intelligence Ready Mount Sinai (AIR-MS)
Posted on July 13, 2026 (about 2 hours ago)
Description
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 the world’s fastest supercomputer, Minerva, at an academic medical center. Minerva and the Artificial Intelligence Ready Mount Sinai (AIRMS) research platform 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. AIRMS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS.
We are seeking a highly engaged and inspired physician informaticist who is expert at computation, data analytics, AI, and the data resulting from U.S. health care processes. The Lead Physician Informaticist, AIRMS will partner with researchers and clinicians for the efficient and effective use of AIRMS and other components in the computational and data ecosystem. In this role, you will serve as a bridge between clinical, operational, and research needs for data from the clinical care processes for MSHS. You will oversee researcher and clinician engagement across MSHS, including working with researchers and clinicians one-on-one to understand their needs and partner with them for solutions; identifying gaps to broader use; and developing roadmaps and communication strategies for the deployment of new technological functionalities in AIRMS. You will help researchers and clinicians translate complex questions into actionable data queries and help create Python/R scripts to gain insights into our Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) warehouse in the AIRMS platform. This is a highly collaborative position focused on empowering users to effectively utilize health data while ensuring accuracy, compliance, and clinical relevance.
Responsibilities
- Oversees all aspects of researcher and clinician engagement, including understanding user needs, developing and executing on a communications plan, identifying new technologies, developing roadmaps and ensuring a world-class user experience.
- Partners one-on-one with end users (clinicians, researchers, analysts) to elicit data and computational requirements, refine research or operational questions, and support the creation of tailored data solutions.
- Communicates complex data concepts effectively to end users with different levels of expertise, especially regarding their use of data produced by the clinical processes at Mount Sinai and stored in the OMOP CDM data warehouse, and reuse of multi-modal data types and formats for research and clinical translation.
- 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 support researchers to address challenges associated with data use and analysis across the translational spectrum (T0 to T4).
- Oversees a user ticketing system and ensures that users are helped in a reasonable amount of time.
- 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 database architects and engineers, software developers, system administrators and others to improve user functionality, data quality and completeness.
- 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 supervised and unsupervised methods, large language models, and transformers.
- Collaborates effectively with students, technologists, physicians, administrators, compliance staff and others throughout MSHS.
- May manage a small staff.
Qualifications
- Bachelor's degree in a technical discipline; Master's 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). In-depth knowledge of associated technology areas that could impact area of responsibility; healthcare technology experience preferred.
Preferred:
- Advanced degree: MD/DO with Board Certification in Clinical Informatics strongly preferred; RN with experience in Clinical Informatics strongly preferred; PhD in a relevant field (e.g., Health Informatics, Bioinformatics, Epidemiology, Biomedical Informatics, or Computer Science with health focus) will be considered for exceptional candidates.
- Understands and has expertise in a broad spectrum of clinical data types available at academic medical centers, and understands the common standards, transformations, and formats for these datasets, as well as the data lifecycle.
- 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.
- Experience with the OMOP Common Data Model and standardized vocabularies (e.g., SNOMED, ICD, RxNorm, LOINC) and ontologies. Experience with mapping concepts to OMOP.
- 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.
About Us
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 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.
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees across eight hospitals, more than 400 outpatient practices, and extensive research and education programs. Mount Sinai advances health for all people by taking on complex health care challenges — 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.
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.
How to Apply
Click the APPLY button on the job posting page to submit your application through the HIMSS JobMine site.
Job ID
84297346