Adjunct Instructor - Healthcare Statistics - CTU Online

Position Description

Consistent with and supportive of CTU's mission (to provide industry-relevant higher education to a diverse student population through innovative technology and experienced faculty, enabling the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success.

Responsibilities

• Prepare relevant, insightful, and engaging instructional materials and

utilize existing course materials that support learning by CTU's student population.

• Provide instruction in assigned courses (including applicable laboratory or

work that is integral to the courses) that aligns with CTU's curricula and outcomes, instructional modalities, course technologies, and faculty expectations.

• Engage and communicate with students to encourage their course participation

and learning while maintaining mutual respect and professionalism.

• Relate professional/industry experience to CTU's Professional Learning Model

by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities.

• Maintain accessibility for and provide timely responsiveness to students,

academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication.

• Establish and maintain weekly office hours for student questions/support.
• Assess student performance on course assignments and provide assignment

feedback to support continued student growth and development.

• Maintain appropriate documentation of student course activities.
• Work with appropriate CTU teams (e.g., advising, academic/faculty leadership,

and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors.

• Refer students to appropriate co-curricular and extra-curricular resources

(e.g., advising, tutoring, library, learning centers, and career services).

• Participate in and contribute to CTU's academic governance through attendance

at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives).

• Successfully complete required new faculty certification training,

course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements.

• Provide periodic required documentation of ongoing and updated licensures,

certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes).

• Work closely with Program Chair and/or Lead Faculty (as appropriate).
• Perform other responsibilities and abide by the appropriate policies and

procedures contained in CTU's Faculty Handbook.

Required Skills

• Strong organizational and time management skills, with proficiency in meeting

deadlines and urgency in responding to questions/requests.

• Strong interpersonal and oral presentation/written communication skills.
• Proficiency in working effectively, cooperatively, and flexibly in a team

environment.

• Proficiency with standard office and mobile applications (i.e., word

processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets).

Required Experience

• DHA or Ph.D in Statistics, Biostatistics, Analytics, Data Science, or a

closely related field

• Experience and track record indicating an excellent potential to conduct

research with the ability to teach undergraduate and graduate courses in the

• Department of Health Sciences
• Ability to interact effectively with a wide and diverse range of students and

colleagues.

• Well-developed oral and written communication skills in a variety of delivery

formats.

• Professional experience in applications of data or business analytics.
• Applicants must show strong research potential and commitment to excellence

in teaching, learning, and student success

• Preference is given to those whose research expertise and interests lie in

one or more of the areas of statistics and deep learning, Bayesian statistics, image and textual mining, health data analytics, or environmental/spatial statistics

• Experience teaching online classes (asynchronous and/or synchronous)