Artificial Intelligence in Medicine – Assistant Associate Full Professor

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profile Job Location:

Boca Raton, FL - USA

profile Monthly Salary: Not Disclosed
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

Apply now to join FAU on its race to excellence.

For more information on everything FAU has to offer please visit

Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.

Position Summary:

Artificial Intelligence in Medicine Assistant/ Associate/ Full Professor

The Florida Atlantic University Charles E. Schmidt College of Medicine is recruiting a visionary faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI-driven initiatives across both biomedical science and clinical departments. This role offers the opportunity to advance AI applications machine learning and data analytics to elevate biomedical research innovate clinical research and develop next-generation graduate and medical education. The successful candidate will serve as a catalyst for cross-disciplinary collaboration advancing discovery and improving health outcomes on a broad scale.

The mission of the Schmidt College of Medicine is to advance the health and well-being of our community by training future generations of humanistic clinicians and scientists and translating discoveries to patient-centered care. We are committed to providing educational programs that enable our trainees to become active self-directed lifelong learners who understand the centrality of collaborative relationships in healthcare research and delivery. We are looking for someone with innovative thinking and a passion for ultimately advancing scientific knowledge and healthcare delivery.

The successful candidate will lead and contribute to cutting-edge research education and strategic initiatives at the intersection of artificial intelligence and biomedical/clinical sciences. The position includes but is not limited to the following responsibilities:

Key Responsibilities

  • Research & Innovation

    • Collaborate with researchers throughout the College and University to integrate AI into ongoing translational and clinical projects. Contribute to institutional AI strategic efforts.

    • Develop lead and sustain a competitive externally funded research program (e.g. NIH NSF DoD industry) applying AI/ML methodologies across cutting edge biomedical research domains such as multi-omics computational biology drug discovery and development clinical trials bioinformatics clinical informatics precision medicine and health outcomes research.

    • Disseminate findings in high-impact journals and at national and/or international conferences.

  • Graduate Education & Curriculum Development

    • Design implement and evaluate AI-focused coursework for graduate medical and health professional education.

    • Mentor College of Medicine graduate students medical students residents postdocs and faculty in the development and utilization of AI methodologies for biomedical and clinical research and/or application.

    • Embed AI modules into existing core and elective courses in the College of Medicine including the M.S. in Biomedical Science program the Genomics and Precision Medicine Certificate Program and the College of Medicine sponsored Doctoral Program to enhance student AI knowledge and skills

    • Serve as a resource for developing new educational programs in the College of Medicine.

  • College-wide Service & Collaboration

    • Serve as an AI resource for faculty and researchers offering expertise and guidance on data science integration across departments.

    • Partner with program directors to identify AI integration opportunities in existing and future graduate curricula.

    • Contribute to departmental college and university committees and participate in strategic AI-related initiatives and help shape the Colleges AI strategy.

    • Build and sustain partnerships with industry government agencies and academic collaborators to foster AI-driven research training and innovation.

    • Collaborate with clinical partners to develop learning health systems initiatives that narrow the gap between evidence and practice.

Minimum Qualifications:

Ph.D. M.D. or equivalent degree or experience in computer science artificial intelligence machine learning data science bioinformatics biomedical science engineering or a closely related field.
A minimum of two (2) years in an academic post-doctoral position (Assistant Professor level).
Demonstrated AI and/or machine learning expertise with relevance to biomedical or clinical challenges.
Strong research publication record and proven (for senior roles) or potential (for junior roles) success in obtaining external funding publications and successful mentoring of junior faculty postdoctoral fellows and/or graduate students.
Commitment to interdisciplinary collaboration and educational excellence.


Preferred Qualifications
Experience leveraging AI with large-scale biomedical/clinical datasets such as EHRs bioinformatics multi-omics diagnostics or health outcomes.
Documented success in cross-disciplinary collaboration and research between basic science and clinical faculty.
Engagement in curriculum development or AI educational programming in health sciences.

Salary:

Commensurate with Experience

College or Department:

Charles E. Schmidt College of Medicine

Location:

Boca Raton

Work Days and Hours:

N/A

Application Deadline:

Special Instructions to Applicant:

This position is open until filled and may close without prior notice.

This position is subject to funding.

All applicants must apply electronically to the currently posted position on the Office of Human Resources job website ( by completing the required employment application for this recruitment and submitting the related documents.

Required Documents:
FAUs Career Page permits the attachment of required/requested documentation.

PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission please combine additional documents into a single attachment to not exceed the maximum permitted.

The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: (i) a Cover letter (ii) CV (iii) Research Statement (iv) Teaching Statement and (v) Service Statement.

Transcripts:
The selected candidate for this position is required to submit an official transcript sent directly from the institution for the Provosts credential file prior to the first day of employment. Similarly for degrees from outside the United States the evaluation by an organization belonging to the National Association of Credential Evaluation (NACES) with an indication of the documents the evaluation was prepared from (official transcripts diplomas dissertation abstracts) is required for the Provosts credential file prior to the first day of employment. Transcripts must be issued to Florida Atlantic University not to the individual applicant.

Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II) motor vehicle check credit check reference checks alcohol and drug screening check.

Accommodations:
Individuals requiring accommodation please call . 711

Required Experience:

IC

Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer please visit Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.Position Summary: Artificial Intelligence in Medicine Assistant/...
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Key Skills

  • AI
  • Genetics
  • Clinical Trials
  • Pharmacy Residency
  • Research Experience
  • Teaching
  • Higher Education Teaching
  • Curriculum Development
  • Grant Writing
  • Program Development
  • Mentoring
  • Research Laboratory Experience

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Florida Atlantic University (FAU) is a student-centered public research university committed to empowering students who want to make a difference.

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