Director Clinical Computation Model/Artificial Intelligence (Full Time, Day at Nicklaus Children's Hospital

Miami, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

07 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Modeling, Artificial Intelligence, Digital Twins, Device Design, Python, Swift, C++, Spatial Computing, AR/VR, AI/ML Applications, Regulatory Submissions, IRB Protocols, Translational Research, Surgical Innovation, Team Leadership, Clinical Workflow Optimization

Industry

Hospitals and Health Care

Description

Job Summary The Director Clinical Computational Modeling & Artificial Intelligence is a senior-level engineering role embedded within the Nicklaus Children's Hospital Heart Institute. This position supports the 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. Job Specific Duties Participate in daily surgical rounds as a core member of the surgical team to identify clinical challenges and opportunities for innovation. Leads development of patient-specific computational models (e.g., fluid dynamics, digital twins) to enhance preoperative planning, intraoperative strategy, and post-operative optimization. Develop and prototype novel devices, tools, or algorithms to support bedside decision-making. Drives 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). Leads 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. Minimum Job Requirements 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 2-4 years of prior experience in surgical innovation, translational research, and interdisciplinary collaboration in clinical environments Knowledge, Skills, and Abilities 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.

Responsibilities

This senior-level engineering role involves supporting the pediatric cardiovascular surgical team by identifying clinical needs and developing bedside-ready engineering solutions, including the design, simulation, and implementation of medical devices and computational models. Responsibilities also include driving translational research, developing regulatory documentation, and leading multidisciplinary teams to implement novel solutions in live clinical settings.