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Full Time Medical Artificial Intelligence Jobs (NOW HIRING)

Sys Integration Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description The Customer's Artificial Intelligence (AI) Research Team Systems ...

Description The Customer's Artificial Intelligence (AI) Research Team Systems Engineering and Technical Assistant (SETA) role is a full-time position central to the coordination and smooth daily ...

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... Medical, Dental, Disability, and Life Insurance * Holistic Health & Well-being programs * Flexible ...

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Full Time Medical Artificial Intelligence information

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How much do full time medical artificial intelligence jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for full time medical artificial intelligence in the United States is $41.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $51.92 per hour, depending on experience, location, and employer.

What is the difference between Full Time Medical Artificial Intelligence vs Medical Data Scientist?

AspectFull Time Medical Artificial IntelligenceMedical Data Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; knowledge of healthcare dataDegree in data science, statistics, or related fields; healthcare data experience
Work EnvironmentHealthcare tech companies, hospitals, research institutionsHospitals, research labs, healthcare analytics firms
Employer & Industry UsageDevelops AI tools for diagnostics, treatment planning, and patient monitoringAnalyzes healthcare data to inform clinical decisions and research

Full Time Medical Artificial Intelligence specialists focus on developing AI systems for healthcare applications, requiring expertise in AI and healthcare data. Medical Data Scientists analyze healthcare data to support clinical and research decisions. While both roles work within the healthcare industry, their core functions and skill sets differ, with AI roles emphasizing system development and data science roles emphasizing data analysis.

What cities are hiring for Full Time Medical Artificial Intelligence jobs? Cities with the most Full Time Medical Artificial Intelligence job openings:
What are the most commonly searched types of Medical Artificial Intelligence jobs? The most popular types of Medical Artificial Intelligence jobs are:
What states have the most Full Time Medical Artificial Intelligence jobs? States with the most job openings for Full Time Medical Artificial Intelligence jobs include:

Full Time Adjunct Faculty, MS Applied Artificial Intelligence

University of San Diego

San Diego, CA • On-site

$5.8K - $7.5K/mo

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

459th of 617 rated colleges and universities


Job description

Full Time Adjunct Faculty, MS Applied Artificial Intelligence
Posting #: 5535
Position Status: Faculty, Full-time temporary
Location: San Diego
Position Type: Faculty, Shiley-Marcos School of Engineering
Position Title & Department:
Full Time Adjunct Faculty, MS Applied Artificial Intelligence
Posting #
5535
Department Description:
The MS-AAI program is one of the few graduate programs in the nation that emphasizes applied, real-world artificial intelligence, integrating technical depth with ethics, moral responsibility, and AI for social good. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning, computer vision, large language models (LLMs), and agentic AI systems. Applicants with strong industry experience, applied research experience, or prior teaching experience in higher education are especially encouraged to apply.
University Description:
The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.
Detailed Description:
The Shiley-Marcos School of Engineering at the University of San Diego (USD) invites applications for a full-time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program, with an appointment beginning in the Spring 2027 semester, which begins on January 2, 2027. This is an on-campus position requiring the selected candidate to reside in or relocate to the San Diego area. The MS-AAI program is delivered in accelerated 7-week course blocks, and all instruction occurs in person at USD. USD is a designated Changemaker campus committed to academic excellence, student success, ethical responsibility, and community engagement.
This is a full-time temporary, benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.
Duties and Responsibilities:
  • Demonstrate a strong commitment to teaching excellence in an applied graduate program.
  • Deliver engaging instruction in 7-week, in-person course formats.
  • Provide timely, constructive feedback and meaningful engagement with graduate students.
  • Integrate industry experience, real-world case studies, and emerging AI practices into the teaching curriculum.
  • Mentor and advise graduate students on academic progress, career planning, and capstone project development.
  • Uphold USD's Vision, Mission, and Core Values, including academic excellence, community, ethical conduct, and compassionate service.
  • Maintain high standards of academic integrity and student performance.
  • Collaborate with the Academic Program Director and Program Coordinator on course development and continuous improvement.

Participate in departmental and university service and marketing activities as appropriate.
Special Conditions of Employment:
Candidates must be authorized to work in the United States.
Job Requirements:
Minimum Qualifications:
  • Master's degree or higher in Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical and Computer Engineering, or a closely related quantitative field.
  • Demonstrated industry experience related to AI or applied research experience in artificial intelligence or machine learning.
  • Strong foundations in machine learning principles, probability, statistics, and linear algebra relevant to deep learning and large language models.
  • Strong interpersonal, collaborative, and professional communication skills.
  • Commitment to equity, inclusion, student engagement, and inclusive teaching practices.

Preferred Qualifications:
  • Prior university-level teaching experience, ideally in in-person, project-based, or experiential learning environments.
  • Industrial experience in AI engineering, ML engineering, deep learning, generative AI, LLM development, computer vision, or MLOps/model deployment.
  • Proficiency in developing and deploying modern AI/ML systems. This includes expertise in core languages (e.g., Python) and frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, AWS SageMaker, and vector databases.
  • Ability to integrate ethical frameworks, responsible AI principles, and real-world case studies into teaching.
  • Experience mentoring graduate students or supervising capstone projects.
  • Teaching responsibilities include lecturing, designing assignments and projects, grading, providing feedback, and supporting students academically and professionally.

Background check: Successful completion of a pre-employment background check and drug screen.
Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.
Posting Salary:
$5,859 - $7,500/monthly; Excellent Benefits
The University of San Diego offers a very competitive benefits package including; medical, dental, vision, a retirement contribution given to you by the University, and access to on-campus Fitness Centers. Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer. USD: Human Resources: Benefits
The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.
Special Application Instructions:
Click the 'Apply Now' button to complete our online application.
For full consideration, applicants must submit:
  1. Cover Letter describing interest in the position, commitment to teaching, and how academic, research, and industry experience align with the MS-AAI program.
  2. Curriculum Vitae (CV) or Resume, including teaching experience, courses taught, and relevant industry or research background.
  3. Three professional references with contact information.

Contact: Ebrahim Tarshizi - etarshizi@sandiego.edu
If you have any technical difficulties please contact the Employment Services Team at jobs@sandiego.edu.
Additional Details:
This is a full-time, benefit-based, non-tenure-track faculty position. All teaching is conducted in person at the USD campus. Salary is competitive and commensurate with experience. Candidates must be authorized to work in the United States.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.
Advertised: July 01, 2026 Pacific Daylight Time
Applications close:
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