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How much do biomedical artificial intelligence postdoc jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for biomedical artificial intelligence postdoc in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What is a biomedical artificial intelligence postdoc?

Biomedical Artificial Intelligence (AI) Postdocs are researchers who have completed their doctoral studies and conduct advanced research at the intersection of biomedical sciences and artificial intelligence. They typically work on developing and applying AI and machine learning techniques to solve complex problems in biology, medicine, and healthcare, such as analyzing medical images, modeling biological systems, or improving disease diagnosis. These positions are usually temporary and help postdoctoral researchers gain further expertise, publish research, and prepare for independent academic or industry careers.

What are some typical research projects or collaborations a biomedical artificial intelligence postdoc might be involved in?

As a Biomedical Artificial Intelligence Postdoc, you may work on interdisciplinary projects that apply machine learning to biomedical data, such as analyzing genomic sequences, medical imaging, or patient health records. Collaboration is common with clinicians, biologists, and data scientists to develop predictive models or novel algorithms for healthcare applications. These projects often involve publishing research, presenting findings at conferences, and sometimes contributing to grant writing or mentoring graduate students. The role is dynamic, with opportunities to advance both technical skills and domain expertise in biomedical sciences.

What are the key skills and qualifications needed to thrive as a biomedical artificial intelligence postdoc, and why are they important?

To thrive as a Biomedical Artificial Intelligence Postdoc, you need a PhD in computer science, biomedical engineering, or a related field, with expertise in machine learning, data analysis, and biomedical research. Proficiency with programming languages like Python or R, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with biomedical datasets are typically required. Strong problem-solving abilities, collaboration skills, and scientific communication make candidates stand out in this research-intensive role. These skills are crucial for advancing innovative biomedical AI solutions and effectively translating complex research into real-world healthcare improvements.

What are popular job titles related to Biomedical Artificial Intelligence Postdoc jobs?

For Biomedical Artificial Intelligence Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Biomedical Artificial Intelligence Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Part Time Faculty - Artificial Intelligence

Remote

Anderson University
See more jobs at Anderson Universityexternal

Part-time

Posted 5 days ago

Job description

Part-Time Doctoral Faculty - Artificial Intelligence
Ed.D. in Leadership and Artificial Intelligence
Anderson University's International Graduate School invites applications forpart-time doctoral faculty in Artificial Intelligenceto teach in the University'sDoctor of Education (Ed.D.) in Leadership and Artificial Intelligence.
The Ed.D. in Leadership and Artificial Intelligence is a professional doctorate designed for experienced professionals who will lead organizations through the opportunities, challenges, and transformations created by artificial intelligence. The program integrates advanced leadership study with artificial intelligence, digital transformation, cybersecurity, ethics, organizational innovation, and applied doctoral research.
Anderson University is particularly interested inscholar-practitioners and accomplished AI professionalswho combine appropriate doctoral credentials with significant real-world experience in artificial intelligence and related technologies.
Because artificial intelligence is a rapidly developing field, Anderson University values bothacademic preparation and substantive professional experience. Candidates are not required to hold a doctorate specifically titled "Artificial Intelligence". However, candidates must possess an earned terminal degree and demonstrate significant academic and/or professional expertise appropriate to the doctoral course or courses they would teach.
Areas of Teaching Need
Anderson University is recruiting faculty qualified to teach one or more of the following courses:
  • LEAI 701 - Foundations of AI: History and Development
  • LEAI 740 - Machine Learning and Generative AI
  • LEAI 750 - AI Ethics and Responsible Use
  • LEAI 760 - Cybersecurity, Privacy, and AI Risk Management
  • LEAI 770 - Leading Change through Digital Transformation and AI Innovation
  • LEAI 780 - Applied Doctoral Research Seminar in Leadership and AI
  • LEAI 790 - Capstone Project
Minimum Qualifications
Candidates must possess:
  • Anearned terminal degree(Ph.D., Ed.D., D.Sc., D.B.A., D.Eng., D.C.S., or other appropriate doctorate) from an appropriately accredited institution.
  • Graduate education, scholarship, research, and/or significant professional expertise related to the course or courses to be taught.
  • Demonstrated knowledge of contemporary artificial intelligence and its application within organizations.
  • The ability to teach and mentor students at the doctoral level in an academically rigorous and professionally relevant environment.
  • The ability to teach effectively in online, hybrid, and intensive-residency formats.
  • A commitment to supporting the mission and values of Anderson University.
Preferred Qualifications
Preference will be given to candidates demonstrating one or more of the following:
  • Significant professional experience implementing or leadingartificial intelligence initiatives in business, government, healthcare, education, technology, cybersecurity, consulting, nonprofit organizations, or other sectors.
  • Expertise ingenerative AI, large language models, machine learning, AI-enabled analytics, AI agents and workflows, predictive systems, or emerging AI technologies.
  • Experience withenterprise AI implementation, digital transformation, technology strategy, organizational innovation, or AI-enabled decision-making.
  • Expertise inAI governance, ethics, privacy, cybersecurity, regulatory compliance, responsible AI, or AI risk management.
  • Graduate or doctoral-level teaching experience.
  • Experience supervising dissertations, doctoral research, applied research, or executive-level capstone projects.
  • Evidence of continuing engagement with the rapidly evolving AI field through scholarship, applied projects, consulting, industry leadership, professional certifications, professional development, or other substantive activities.
The Scholar-Practitioner We Seek
The Ed.D. in Leadership and Artificial Intelligence is aprofessional doctorate. Anderson University therefore seeks faculty who can connect doctoral scholarship with contemporary organizational practice. Ideal candidates may include senior technology executives, artificial intelligence and data science leaders, cybersecurity professionals, consultants, researchers, entrepreneurs, government technology leaders, or experienced academics who possess both an appropriate terminal degree and demonstrated expertise in artificial intelligence.
Of particular interest are professionals who have participated directly in thedevelopment, implementation, management, governance, or strategic use of artificial intelligence within organizations. Our faculty should help doctoral students understand not simplywhat artificial intelligence can do, but how leaders canevaluate, implement, govern, secure, and responsibly use AI to improve and transform organizations.
Teaching in the Ed.D. Program
Faculty members will work with experienced professionals pursuing a practice-oriented doctoral degree. Depending upon course assignment, responsibilities may include:
  • Teaching doctoral courses in online and hybrid formats.
  • Connecting current AI developments with leadership and organizational practice.
  • Using case studies, applied projects, simulations, and contemporary organizational challenges.
  • Mentoring doctoral students in applied research.
  • Advising students as they translate research into organizational solutions.
  • Participating, when appropriate, in theResponsible AI Leadership Capstone, through which students address significant workplace, organizational, industry, or societal challenges using responsible applications of artificial intelligence.
Faculty teaching research and capstone courses may also guide students in research design, organizational analysis, implementation strategies, evaluation, and professional presentation of doctoral-level work.
About our Commitment to Fairness in Employment

Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources at hr@andersonuniversity.edu.

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