Tenure-Track Faculty Positions in AI Implementation Science

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Tenure-Track Faculty Positions in AI Implementation Science

The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.

**Description** Tenure-Track Faculty Positions in AI Implementation Science Windreich Department of AI & Human Health, Icahn School of Medicine at Mount Sinai in 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, invite

applications for four tenure-track faculty positions as part of a new strategic concentration

in implementation and translational science. The 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 intersection of

multiple science areas, including but not limited to computer science, computational

science, biomedical informatics, mixed methods research designs, statistics, clinical

trials, implementation and translational science. The overarching goal is to build on the

existing DHP partnerships, platforms and processes to accelerate the translation of safe

and equitable artificial intelligence algorithms, digital health innovations, and tools into

real-world clinical workflows at the Mount Sinai Health System. This investment will

establish a primary collaborative thrust for the DHP in implementation science, designed

to bridge the gap between technical innovation and actionable, equitable health impact.

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.

**Responsibilities** All faculty will:

• Develop and lead an independent, extramurally funded research program in implementation science that leverages expertise and creates strong collaborations across the DHP. These research programs will be positioned to bring together the excellence of HPI in designing and engineering information systems with the world class clinical and biomedical research enterprise of the Mount Sinai Health System.
• 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 (including course sessions) and provide ongoing advising and supervision of master’s theses.
• Advance the translation, evaluation, and real-world adoption of AI and digital health innovations with research utilizing AI-Ready Mount Sinai (AIR.MS) as a foundational platform.
• Mentor trainees engaged in implementation research, data science, public health, clinical research, and software engineering. Faculty members will be expected to participate in the Digital Health Partnership Academic Exchange Program by providing mentorship to both HPI and Mount Sinai students who are participating in the exchange.
• Engage in departmental, institutional, and collaborative service. Faculty will be expected to participate in and lead implementation efforts in the Mount Sinai Health System. This includes an expectation to participate in the already existing implementation committees or programs, and to develop novel innovative implementation efforts that are synergistic with the faculty member’s independent research.

We are conducting a coordinated recruitment for four complementary areas:

• AI “Implementation in the Clinic” Scientist

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.

**Role Overview:** This role will lead the translation of AI-enabled research products into real-world clinical

workflows, ensuring tools are usable, interoperable, and provider-centered. The s…