Tenure-Track Faculty Positions in AI Implementation Science

Tenure-Track Faculty Positions in AI Implementation Science

Windreich Department of AI & Human Health, Icahn School of Medicine at Mount Sinai

New York City and the Hasso Plattner Institute (HPI) in Potsdam, Germany

The Windreich Department of AI & Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai, together with the Hasso Plattner Institute (HPI) in Potsdam, Germany, invites applications for four tenure‑track faculty positions as part of a new strategic concentration in implementation and translational science. Faculty will be core members of, and ambassadors for, the HPI‑Mount Sinai Digital Health Partnership (DHP), supported by the Hasso Plattner Foundation and Mount Sinai.

We seek investigators at all ranks (Assistant, Associate, and Professor) whose research programs are interdisciplinary at the intersection of multiple science areas, including computer science, biomedical informatics, statistics, and implementation science, to accelerate the translation of safe and equitable AI algorithms and digital health innovations into real‑world clinical workflows within the Mount Sinai Health System. These faculty will expand the existing methodological foundation and collaborative infrastructure to advance clinical utility, cost‑effectiveness, sustainability, and policy relevance of AI innovations emerging from the Digital Health Partnership.

• Develop and lead an independent, extramurally funded research program in implementation science that leverages expertise and creates strong collaborations across the DHP, positioning the program to bridge the excellence of HPI in information system design and the world‑class clinical research enterprise of Mount Sinai.
• Spend a minimum of two weeks per Summer and Winter term on site at HPI in Potsdam, Germany, contributing to teaching in the HPI Master of Digital Health program and providing ongoing advising and supervision of master’s theses.
• Advance the translation, evaluation, and real‑world adoption of AI and digital health innovations using the AI‑Ready Mount Sinai (AIR.MS) platform.
• Mentor trainees engaged in implementation research, data science, public health, clinical research, and software engineering; provide mentorship to both HPI and Mount Sinai students participating in the Digital Health Partnership Academic Exchange Program.
• Engage in departmental, institutional, and collaborative service, including participation and leadership in Mount Sinai Health System implementation committees and development of innovative implementation efforts that synergize with independent research.

We are seeking a scientist at the intersection of AI, digital health, and clinical care to drive the design, implementation, and scale‑up of human‑centered technologies within a Learning Health System.

• Integrate AI and digital health tools into clinical workflows and EHR systems.
• Lead user experience and co‑design initiatives to ensure adoption and usability.
• Build scalable, provider‑centered implementation strategies using implementation science frameworks.
• Advance a Learning Health System model with continuous feedback loops and outcome evaluation.
• Collaborate with HPI Engine to accelerate translation from prototype to practice.
• Partner with the HPI Design Thinking School to cultivate interdisciplinary innovation capabilities.

• Expertise bridging computer science, engineering, implementation science, and healthcare delivery.
• Experience implementing AI tools in clinical settings.
• Deep understanding of EHR integration and clinical decision support.
• Demonstrated leadership in human‑centered design and translational innovation.

This role supports ethical AI implementation strategies in the Mount Sinai Health system, ensuring safe, effective, and fair deployment of AI tools by addressing bias, accessibility, privacy, and trust.

• Design strategies for equitable deployment of AI systems.
• Identify and mitigate bias across demographic and clinical subgroups.
• Ensure accessibility and appropriate workflow integration.
• Safeguard…