Assistant/Associate Professor of Biostatistics Education and Research

Rocky Vista University in Ivins, UT has an opening for a

Assistant/Associate Professor of Biostatistics Education and Research (Full-Time)

To be considered for this position applicants should submit a resume/cover letter and salary requirements on our Careers page at www.rvu.edu.

SALARY:

$90,909 to $135,700 per year depending on experience and Faculty rank. The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to skill, knowledge, experience, education, and credentials. The RVU Rank and Promotions Committee will determine rank of any finalist. 

BENEFITS:

RVU offers a full benefits package that includes 401(k), Health, Dental and Vision insurance, along with 2 weeks (minimum) accrued paid vacation days per year, 12 accrued sick days per year, personal days, 13 ½ paid holidays and 401(K) match up to 7% based on employee’s contribution. Join us in an environment where in-office work is the primary focus, complemented by hybrid work flexibility for eligible positions.

Commitment to Inclusive Excellence: We are Rocky Vista University (RVU), a diverse, equitable, and inclusive healthcare education university that recognizes, values, and respects the commonalities and differences reflected in our students, staff, faculty, and alumni. We strive to be compassionate healthcare educators and practitioners who embrace and champion inclusive excellence.

RVU is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Participate in teaching, service, scholarly activities, and appropriate administrative work at RVUCOM-SU.

• Mentor students in project design, research methodology, and bioinformatics.

• Provide statistical support for various research and scholarly projects.
• Actively participate in the education and instruction of medical students and other health care professional students while providing mentorship and motivations for learning, research and scholarly activity in classroom environments, active learning groups, laboratory experience and research opportunities.
• Establish and maintain scheduled office hours for student advising, tutoring, remediation and consultation.
• Provide service to the university community and students through serving on COM and department committees, providing leadership, mentorship and expertise to student, participating in community outreach events and with professional organizations or groups as assigned by the Vice Provost of Research and Scholarly Activity.
• Demonstrate the highest standard of professionalism and ethical behavior in all aspects of personal and professional actions and performance.
• Work cooperatively with colleagues, supervisors and support staff.
• Increase the prestige of the University and College through advancement of its mission and vision and advancement of your personal career.
• Be actively engaged in original and collaborative research.
• Other duties as assigned by the Vice Provost of Research and Scholarly Activity, the Provost, or his/her designee.

• Demonstrate knowledge and skill in data analytics.
• Demonstrate ability to mentor and motivate students and peers.
• Demonstrated leadership experience in professional or educational settings.
• Demonstrations of published works of scholarly activity.
• Demonstrated ability to work independently to perform tasks, investigate and solve problems.
• Demonstrated ability and experience in the integration and analysis of very large data sets from multiple sources such as surveys, the census, administrative data files as well as raw research data
• Demonstrated ability to use SAS (Statistical Analysis System) database programming which includes data access, data retrieval, data management, data analysis, and data presentation.
• Ability to create and use statistical algorithms to answer complex research questions.

• M.S. from an accredited institution in data analytics.
• One (1) - three (3) years of experience doing statistical analysis of health care records.

• PhD from an accredited institution.
• One (1) - three (3) years academic experience as a full time faculty member at a College of Osteopathic Medicine.