UNIV-PT BS-AHIA 临时讲师 – 医疗保健领导与部门

Job Description Summary
We invite applications from qualified adjunct faculty to teach undergraduate-level courses in the BS-AHIA (Bachelor of Science in Applied Health Intelligence and Administration) program (fully online/remote, accelerated format). Adjunct faculty will engage in online instruction (asynchronous) with intentional integration of artificial intelligence and digital tools, assess and provide feedback to students, work with program leadership to ensure alignment with student learning outcomes and the overall program mission, and contribute to continuous program quality.Entity
Medical University of South Carolina (MUSC - Univ)Worker Type
EmployeeWorker Sub-Type​
TemporaryCost Center
CC005814 CHP - AHIAPay Rate Type
SalaryPay Grade

University-00Pay Range
0.00 - 0.00 - 0.000Scheduled Weekly Hours
1.2Work Shift

Job Description
MUSC is a nationally-recognized academic health sciences center committed to excellence in teaching, research, and patient-care innovation. The BS-AHIA (Bachelor of Science in Applied Health Intelligence and Administration) is a fully online, accelerated degree-completion program designed for working adults and nontraditional learners preparing for leadership roles in AI-enabled healthcare environments. The program emphasizes artificial intelligence integration, data literacy, health informatics, healthcare technology, and ethical decision-making in healthcare settings. The curriculum embeds AI and advanced digital tools across all courses to prepare graduates for careers in health informatics, data analytics, health information management, and technology-focused leadership roles in the healthcare industry.

Small class sizes, strong faculty mentorship, and a flexible online format make this program
well-suited to working professionals and adult learners with prior college credit seeking to advance in healthcare informatics and administration roles. The adjunct faculty for the BS-AHIA program will join a dynamic team that bridges academic rigor and real-world health informatics practice, supporting learners as they move into roles that drive data-informed innovation and technological advancement in healthcare.

Primary Responsibilities:

• Serve as an instructor for one or more BS-AHIA courses per academic year (typically 2-3 courses per year for adjunct status)
• Deliver high-quality online instruction with intentional integration of artificial intelligence and advanced digital tools, including lectures (asynchronous), discussion facilitation, assignment design, assessment, and feedback
• Model ethical and responsible use of AI in teaching, learning activities, and student assessments
• Maintain virtual office hours and respond to student inquiries in a timely manner • Monitor student engagement and performance in an accelerated, online format; intervene or refer to program support as needed
• Collaborate with the division director and other faculty to ensure course content is current, evidence-based, AI-informed, and aligned with student learning outcomes
• Participate in faculty orientation/training for online pedagogy, accelerated instruction, and AI-integrated teaching; abide by university policies on academic integrity, accessibility, and teaching best practices
• Engage in periodic program reviews and mentor students in assigned courses, particularly adult learners and nontraditional students
• Adjunct faculty may also serve as mentors or advisors for applied projects, supporting students through health intelligence analysis, capstone projects, and professional development processes

Minimum Qualifications:
Faculty teaching undergraduate coursework must have earned a master's degree or higher in the teaching discipline or a related discipline. Therefore, the minimum qualifications for this adjunct appointment are:
· Master's degree or higher in Health Informatics, Health Information Management, Healthcare Administration, Data Analytics, Information Systems, Computer Science, Business Administration, or a closely related field from a regionally accredited institution
· Evidence of successful teaching experience in online and/or accelerated undergraduate or graduate programs, particularly those serving adult or nontraditional learners.
· Demonstrated experience integrating artificial intelligence or advanced digital tools into teaching, learning activities, or curriculum design, with an emphasis on applied and ethical use.
· Demonstrated knowledge of health information systems, data analytics tools, healthcare technology applications, and AI applications in healthcare.
Alternatively, in rare cases where the master's degree is in a different field, the following may be considered:
· Master's degree in a relevant discipline plus significant professional experience (e.g., 5+ years) in health informatics, health information management, healthcare data analytics, health IT implementation, AI implementation in healthcare, or related roles, and
· Evidence of continuing professional development (certifications, publications, presentations, etc.) in health informatics, healthcare technology, or AI in healthcare.

Preferred Qualifications:
• Doctoral degree (Ph.D., or related) in Health Informatics, Health Information Management, Healthcare Administration, Data Science, or related field
• Experience teaching in online accelerated undergraduate programs, particularly degree-completion programs for adult learners
• Experience mentoring faculty or students in online, accelerated, or AI-enhanced teaching environments
• Demonstrated ability to use learning-management systems (e.g., Brightspace, Canvas, Blackboard), virtual classroom technologies, and engage diverse adult learners
• Active participation in professional organizations such as AUPHA, AHIMA, HIMSS, AMIA, ACHE, or other relevant health informatics and healthcare administration associations
• Professional certifications such as RHIA, RHIT, CHDA, CDIP, CCS, PMP, CPHIMS, FACHE, or equivalent
• Experience in health informatics, health information management, healthcare data analytics, electronic health records (EHR) implementation, health IT project management, AI implementation in healthcare, healthcare quality improvement, or health data governance
• Record of peer-reviewed publications or presentations in health informatics, health information management, data analytics, AI in healthcare, or related fields
• Ability to contribute to curriculum design, continuous improvement, and student mentorship in accelerated online programs
• Experience with data analytics tools and programming languages (e.g., SQL, Python, R, Tableau, Power BI)
• Experience with AI tools and platforms relevant to healthcare (e.g., predictive analytics, machine learning applications, natural language processing, CoPilot, ChatGPT, Claude, or other generative AI tools)
• Knowledge of healthcare regulations and standards (HIPAA, HITECH, 21st Century Cures Act, HL7, FHIR)
• Understanding of ethical considerations in AI use, data governance, and responsible technology implementation in healthcare

Required Materials:
Applicants must submit the following documents for full consideration. Please ensure all required materials are attached to your application prior to submission.
·
Cover Letter addressing qualifications, leadership experience, and alignment with the position.
·
Current Curriculum Vitae (CV) detailing work history, with emphasis on leadership and academic experiences.
·
Teaching Philosophy Statement (1–2 pages) describing innovative teaching strategies, instructional experience, and commitment to early career student success.
·
Contact Information for Three Professional References (references will only be contacted after first-round interviews).

At MUSC, remote positions may be filled by candidates residing in the following states: Alabama, Arizona, Arkansas, Connecticut, Delaware, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, North Carolina, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, and Wisconsin.
Additional Job Description
Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:
Originally posted on Himalayas