Online Visiting Professor of Healthcare Statistics

Opportunity:DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

Courses meet once or twice a week for eight weeks.
Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion.
As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:

Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
Organizes, prepares, and regularly revises and update all course materials.
Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
Ensures that the content and level of material included on exams correspond to the course terminal objectives.
Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.
Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Master's degree in biostatistics, epidemiology, or healthcare-related field.
All Degrees must be from a regionally accredited institution or equivalent.
Minimum 5 years applying statistical methods to healthcare data (clinical trials, observational studies, quality improvement).
Expertise in data visualization, regression analysis, survival analysis, and longitudinal data methods.
Experience with healthcare-specific statistical challenges (missing data, risk adjustment, propensity scoring).
Knowledge of regulatory requirements for healthcare research (IRB, HIPAA).
This role requires the ability to work flexible hours, including evenings.
Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

Preferred Qualifications:

Professional statistician accreditation (PStat) or SAS certification.
Current Certified Health Data Analyst (CHDA) Certification or Certified in Healthcare Privacy and Security (CHPS) preferred.
Experience with FDA submission statistics or CMS quality measure development.
Background in health economics and outcomes research (HEOR).
Experience in overseeing systems responsible for managing healthcare data at the department or organizational level or equivalent.
Previous experience teaching statistics to healthcare professionals.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.

Pay may vary in most states from $1500-$2700 per 8-week session.

Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.