Public Health/Biostatistics/Epidemiology Public Health/Management/Administration
Loyola University Chicago’s Parkinson School of Health Sciences and Public Health is an innovative new school committed to applying an entrepreneurial philosophy of educational excellence, research, and service to achieve the goals of improving human potential through health sciences and the promotion of health equity. Parkinson graduates put their knowledge and skills to work in the public, private, and non-governmental organization sectors in areas such as healthcare systems and services, public health, and education.
This is a 12 Month, Non-tenure Track position at the rank of Assistant or Associate Professor. The successful candidate will be responsible for teaching biostatistics courses at both graduate and undergraduate levels, online and in-person, on both the Health Sciences and Lake Shore campuses. The expected teaching load will be six classes per year across the three academic terms (i.e., fall, spring, summer).
We encourage applicants from backgrounds historically under-represented in public health sciences whose teaching interests focus on health equity and social justice and who demonstrate a commitment to diversity, equity and inclusion.
Academic Duties and Responsibilities
Teach biostatistics courses in varied modalities: online, blended, hybrid, and in person
Mentor graduate and undergraduate students on their research
Develop and design curriculum for statistical courses to promote student learning, class discussions, and students’ engagement.
Provide academic counseling and advising to students to help them achieve their academic and professional goals
Enroll in trainings to stay current in technological or pedagogical innovations that foster students’ learning.
Serve on university, school, departmental or other academic unit committees.
The successful candidate must be able to meet rank guidelines at the Assistant or Associate Professor level.
PhD/ScD/DrPH in biostatistics, public health, statistics, mathematics or related field
Expertise in biostatistics, including teaching classical biostatistical methods applied to public health and clinical research
Evidence of exemplary teaching record through course evaluations, peer reviews, etc.
Record of professional service
At least two years of teaching experience in higher education
Experience with learning management systems such as Sakai or Blackboard
Ability to teach courses during both the daytime and evening hours
Knowledge in SAS
Teaching in public health programs
Experience in teaching both undergraduate and graduate students
Expertise in SAS
Expertise in epidemiologic study design and analysis
Expertise in visualization of health data
Experience working with public health and health-related data, including electronic health records and other secondary data sources
Experience in similar or equivalent role in the past
Evidence of effective mentoring of graduate and undergraduate student research
a cover letter describing your interest in and qualifications for the position;
a curriculum vitae;
a statement of teaching interests, teaching philosophy, and evidence of teaching and mentoring effectiveness; and
a list of references (who will be contacted for finalists only).
Our review of applications will continue until we fill the position. Applications will be reviewed as they are received (and complete). Preference will be given to applications received before March 1, 2023, although applications will be considered until the position is filled. The anticipated start date is July 1, 2023, or until position is filled.
Loyola University Chicago is an Equal Opportunity / Affirmative Action employer with a strong commitment to hiring for our mission and diversifying our faculty and staff. As a Jesuit Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a Transformative Education in the Jesuit tradition. We encourage underrepresented minorities and women candidates to apply.
All qualified applicants will receive consideration for employment without regard to race, color, religion (except where religion is a bona fide occupational qualification for the job), national origin, sex, age, disability, marital status, sexual orientation, gender identity, protected veteran status or any other factor protected by law.
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