Lead Physician Informaticist - Artificial Intelligence Ready Mount Sinai
Icahn School of Medicine at Mount Sinai, New York, NY, United States
About the Role
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 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 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 supervised and unsupervised methods, large language models, and transformers.
May manage a small number of staff as required.
Requirements
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.
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 $145,200 – $217,875 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.
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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 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 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 supervised and unsupervised methods, large language models, and transformers.
May manage a small number of staff as required.
Requirements
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.
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 $145,200 – $217,875 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.
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