Lead Physician Informaticist - Artificial Intelligence Ready Mount Sinai (AIR-MS)

Mount Sinai Health System • New York, NY

4d

About The Position

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 (AIR·MS) research platform are part of a computational and
data ecosystem that includes cohort query tools, AI agents, and thousands of
applications. With these extensive resources, we are well positioned to continue
our quest to better understand and treat disease through the use of AI. 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 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, AIR·MS will partner
with researchers and clinicians for the efficient and effective use of AIR·MS
and the 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 using your world-class support
and collaboration skills. You will oversee researcher and clinician engagement
across MSHS, including but not limited to: working with researchers and
clinicians 1:1 to understand their needs and partnering with them for solutions;
identifying gaps to broader use; and developing roadmaps and communication
strategies for the deployment of new technological functionalities in AIR·MS.
You will help researchers and clinicians translate complex questions into
actionable data queries and help create Python/R scripts to help them gain
insights into our Observational Medical Outcomes Partnership (OMOP) Common Data
Model (CDM) warehouse in the AIR·MS platform. This is a highly-collaborative
position focused on empowering users to effectively utilize health data while
ensuring accuracy, compliance, and clinical

Requirements

• Expert at computation
• Expert at data analytics
• Expert at AI
• Expert in the data resulting from U.S. health care processes
• World-class support and collaboration skills

Responsibilities

• Partner with researchers and clinicians for the efficient and effective use of AIR·MS and the other components in the computational and data ecosystem.
• Serve as a bridge between clinical, operational and research needs for data from the clinical care processes for MSHS.
• Oversee researcher and clinician engagement across MSHS, including but not limited to: working with researchers and clinicians 1:1 to understand their needs and partnering with them for solutions; identifying gaps to broader use; and developing roadmaps and communication strategies for the deployment of new technological functionalities in AIR·MS.
• Help researchers and clinicians translate complex questions into actionable data queries and help create Python/R scripts to help them gain insights into our Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) warehouse in the AIR·MS platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees