Director Clinical Computation Model​/Artificial Intelligence

Director Clinical Computation Model/Artificial Intelligence (Full Time, Days) (300964)

Position at Nicklaus Children's Hospital Heart Institute, senior‑level engineering role embedded within the Heart Institute. Supports pediatric cardiovascular surgical team by identifying clinical needs and developing bedside‑ready engineering solutions. Responsibilities include the design, simulation, and implementation of medical devices, spatial computing platforms, and computational models to enhance surgical precision and patient outcomes. Serves as a bridge between surgical care and advanced engineering, integrating translational research, clinical workflow optimization, and technology development in a high‑acuity pediatric environment.

• Participate in daily surgical rounds as a core member of the surgical team to identify clinical challenges and opportunities for innovation.
• Lead development of patient‑specific computational models (e.g., fluid dynamics, digital twins) to enhance pre‑operative planning, intra‑operative strategy, and post‑operative optimization.
• Develop and prototype novel devices, tools, or algorithms to support bedside decision‑making.
• Drive translational research execution, including IRB protocol development, data collection/analysis, and preparation of FDA/regulatory documentation to advance clinical deployment. Co‑lead efforts with segment Chief in translational grant proposals (e.g., R01, R21).
• Lead cross‑functional, multidisciplinary teams involving surgeons, cardiologists, data scientists, and regulatory specialists to co‑develop, test, and implement novel solutions in live clinical environments.
• Collaborate with external academic and industry partners to drive co‑development of novel technologies.
• Lead or co‑author manuscripts, white papers, and regulatory documentation.
• Represent the Heart Institute at national conferences (e.g., AATS, STS, IEEE).
• Lead a team of engineers, junior researchers or visiting fellows, creating a sustained innovation workforce pipeline aligned with the mission of the Heart Institute.

• Ph.D. in Biomedical Engineering, Computational Science, or related field.
• Master's Degree in MBA preferred (or in progress).
• 7–10 years of medical technology, device development, or computational modeling experience.
• 2–4 years of prior experience in surgical innovation, translational research, and interdisciplinary collaboration in clinical environments.

• Expertise in computational modeling, digital twin simulation, and device design.
• Proficient in Python, Swift, C++, and cloud‑native app environments (FastAPI, Docker, etc.).
• Knowledge of spatial computing and AR/VR surgical platforms (e.g., Apple Vision Pro, Hololens).
• Strong experience in AI/ML applications in healthcare.
• Excellent collaboration and communication skills across clinical and technical teams.
• Experience developing regulatory submissions and IRB protocols.
• Capable of mentoring junior engineers and collaborating with external partners.
• Demonstrated ability to lead innovation initiatives from ideation through clinical translation.

HEART PROGRAM ADMINISTRATION-