Post Doctoral Scholar

University of Miami-posted 2 days ago
Full-time
Hybrid • Miami, FL
5,001-10,000 employees
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The Post Doctoral Scholar takes initiative and works independently in developing new research ideas and troubleshooting new assays. Further, the incumbent facilitates the training of students, residents, fellows, and other trainees. This joint postdoctoral fellowship between the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration of artificial intelligence (AI), data science, and emerging digital technologies in medical education. The Postdoctoral Scholar will work at the intersection of digital health, informatics, and education innovation, leveraging advanced AI methodologies to transform health professions training. This is a HYBRID position. The Postdoctoral Scholar will serve as a key contributor to AI and data science initiatives across the departments and will: Support the development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop and evaluate AI-powered tools such as chatbots, automated feedback systems, and adaptive and precision learning pathways, to enhance student engagement, knowledge retention, and competency-based education. Conduct cutting-edge research in AI-enhanced educational methodologies, data analytics, and digital learning platforms. Lead and contribute to grant proposals and peer-reviewed publications to secure funding and disseminate findings focused on AI and informatics-driven educational innovations. Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in information systems management. Create, implement and evaluate the impact of AI-enhanced generative assessment tools to enhance simulation-based training, virtual patients, and decision support systems to ensure real-time skill development in clinical education. Collaborate with multidisciplinary teams across the Miller School of Medicine, UHealth, and industry partners to co-design and pilot new AI-driven curricula and educational technologies across the medical school and health system. Contribute to the development of institutional policy, ethical frameworks, and best practices related to the use of AI in medical education. Establish an independent research agenda under the mentorship of faculty from both departments, aligned with the university’s strategic vision for AI-powered medical education. This position provides mentored career development in a dynamic and rapidly evolving field, with opportunities to contribute to high-impact initiatives that redefine the future of medical education. The Postdoctoral Scholar will have access to state-of-the-art AI research infrastructure, advanced computational resources, and digital health platforms, as well as extensive networking opportunities within the University of Miami’s robust AI and digital health ecosystem. Program Objectives: Provide fundamental training by interdisciplinary faculty in the area of informatics and health data science research using translational, population health, and health equity methods and practices. Establish and foster meaningful mentors-mentee partnerships aligning scholars with primary and peer mentors based on shared research interests and complementary expertise. Provide individualized academic coaching to mentees while developing skills needed to develop independent research career Guide mentees in the preparation and presentation of posters and oral presentations at scientific and professional conferences. Support the conceptualization and authorship of in innovative peer-reviewed research publications Mentor Postdocs through the grant development process, including applications for F, K, or R-series awards and other career development mechanism

  • Assists in planning and designing research experiments, establishes priorities, and recommends schedules.
  • Presents research findings at local and national scientific conferences.
  • Writes technical publications and reports.
  • Designs and writes programs to perform analysis and produces written reports on results.
  • Collects pilot data to help support new and competing renewal applications.
  • Supervises undergraduate and graduate research students and performs literature reviews.
  • Adheres to University and unit-level policies and procedures and safeguards University assets.
  • Support the development of new AI-driven curricula and assessment frameworks for health professions education.
  • Design, develop and apply AI solutions including traditional machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education.
  • Develop and evaluate AI-powered tools such as chatbots, automated feedback systems, and adaptive and precision learning pathways, to enhance student engagement, knowledge retention, and competency-based education.
  • Conduct cutting-edge research in AI-enhanced educational methodologies, data analytics, and digital learning platforms.
  • Lead and contribute to grant proposals and peer-reviewed publications to secure funding and disseminate findings focused on AI and informatics-driven educational innovations.
  • Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in information systems management.
  • Create, implement and evaluate the impact of AI-enhanced generative assessment tools to enhance simulation-based training, virtual patients, and decision support systems to ensure real-time skill development in clinical education.
  • Collaborate with multidisciplinary teams across the Miller School of Medicine, UHealth, and industry partners to co-design and pilot new AI-driven curricula and educational technologies across the medical school and health system.
  • Contribute to the development of institutional policy, ethical frameworks, and best practices related to the use of AI in medical education.
  • Establish an independent research agenda under the mentorship of faculty from both departments, aligned with the university’s strategic vision for AI-powered medical education.
  • Provide fundamental training by interdisciplinary faculty in the area of informatics and health data science research using translational, population health, and health equity methods and practices.
  • Establish and foster meaningful mentors-mentee partnerships aligning scholars with primary and peer mentors based on shared research interests and complementary expertise.
  • Provide individualized academic coaching to mentees while developing skills needed to develop independent research career
  • Guide mentees in the preparation and presentation of posters and oral presentations at scientific and professional conferences.
  • Support the conceptualization and authorship of in innovative peer-reviewed research publications
  • Mentor Postdocs through the grant development process, including applications for F, K, or R-series awards and other career development mechanism
  • Doctorate degree Medicine (MD) required
  • Demonstrated ability to communicate research findings effectively through oral presentation and peer-reviewed publications.
  • Proven experience working independently and collaboratively manner with diverse, interdisciplinary teams of scientists and clinicians.
  • Demonstrated experience in supporting reproducible scientific research.
  • Experience authoring scientific manuscripts and contributing to grant writing.
  • Active experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications.
  • Proficiency in classical machine learning techniques such as regression, clustering, and related methods
  • Experience working with clinical data and/or data from health professions education.
  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.
  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
  • Experience teaching or mentoring at the undergraduate or graduate level.
  • Experience with applying AI and data science in health professions education, particularly in areas such as assessment, teaching, equity, and ethical frameworks.
  • Proficiency in Python and experience with relevant libraries for AI/ML development.
  • Experience with advanced AI methodologies including deep learning, transfer learning, and neural networks.
  • Understanding of the software development cycle (SDLC) and experience applying it to research or educational software projects.
  • Experience with -omics data analysis, AI-based computational modeling, virtual compound screening, and/or analysis of high-throughput data screening.
  • The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
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