The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.
The UNH Diversity Resource Guide with information and programming available in the seacoast area, New Hampshire, and the region can be found here: https://www.unh.edu/hr/diversity-resource-guide
Summary of Position
The Department of Health Management and Policy in the College of Health and Human Services at the University of New Hampshire (UNH) invites applications for a full-time Lecturer position to support its programs in health data science, public health, and health administration. The Lecturer will be responsible for teaching courses in health data science and potentially methods courses in the Masters of Public Health program and in the undergraduate program in Health Management and Policy. The successful candidate will be able to teach courses in at least some of the following areas:
The Lecturer will also be expected to participate in student mentoring. The target start date is Spring 2022.
The Department (http://chhs.unh.edu/hmp/) offers an AUPHA-certified Baccalaureate program in Health Management and Policy on the Durham, New Hampshire campus, as well as a CEPH-accredited MPH program, a Graduate Public Health Certificate Program at our urban campus in Manchester, New Hampshire, a Masters of Health Data Science degree online and a Graduate Certificate in Health Data Science, online.
The following application materials are required at the time of application: 1) a cover letter, 2) curriculum vitae, 3) contact information for three professional references, 4) statement of teaching interests and philosophy, 5) a summary of service activities or positions held, and 6) a sample course syllabus, if available, and 7) a statement of how your leadership experience, research, and/or teaching supports diversity and inclusion.
Acceptable Minimum Qualifications
An earned Doctorate or Master’s degree with significant experience in biostatistics/statistics, health informatics, health data science, information systems, analytics, health care management and/or finance, public health, population health, or a closely related discipline.
A demonstrated ability to teach effectively in academic institutions, industry training workshops, and/or online platforms.
A commitment to sustaining and advancing the goals of the institution’s diversity of students, faculty, staff, and community groups. Candidates are expected to understand and be able to articulate the importance of equity, inclusion, and diversity in the field of health management, policy, public health, and medicine.
Additional Preferred Qualifications
Additional preferred qualifications include research and/or teaching in one or more of the following areas:
Machine Learning, Deep Learning, Artificial Intelligence, Healthcare Data Systems, Big Data Computational Systems
Salary is complemented by a comprehensive benefits package which includes medical, dental, retirement, tuition, and paid time off.
A background check will be required as a condition of employment.
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The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, or marital status. Application by members of all underrepresented groups is encouraged. Hiring is contingent upon eligibility to work in the U.S.