Assistant Professor of Big Data Science, Department of Healthcare Administration & Policy, Scho

Job Description

The University of Nevada, Las Vegas invites applications for an Assistant Professor of Big Data Science in Public Health in the Department of Healthcare Administration & Policy in the School of Public Health. This is a full-time, tenure-track position which is part of an interdisciplinary cluster hire. We seek applicants with a multidisciplinary background and strong research experience utilizing a combination of technologies/techniques, including any area with a strong focus on data, broadly construed.

The ideal candidate will contribute to and expand existing big data and informatics research within the School of Public Health (SPH), advancing innovative, multidisciplinary approaches to healthcare and public health challenges. Candidates should possess a strong, interdisciplinary background and a demonstrated record of research that integrates multiple technologies and analytical methodologies. Candidates with a strong foundation in information technology, data analytics, and emerging digital health technologies and their application in healthcare and public health settings are especially encouraged to apply.

Experience in applying big data frameworks to AI-driven solutions, including deep learning and natural language processing, is considered a significant asset.

This position is a part of campus-wide cluster hiring opportunity in areas of strategic importance to Southern Nevada. The person hired for this position will be expected to collaborate with faculty in multiple departments and research areas in the SPH and will support interdisciplinary research in the above topics; further, there will be opportunities to work collaboratively with units across the university campus in support of health-related big data research.

Experience working with public health data and/or within healthcare analytics organizations is a plus.

Requirements also include publishing research, seeking extramural funding, service to professional associations, and serving on department, college, and university committees.

• This position requires a PhDfrom an accredited college or university as recognized by the United States Department of Education and/or the Council on Higher Education Accreditation (CHEA).

• Experience with healthcare, Medicaid/Medicare and other payers, health disparities, public health/health data and related fields are encouraged to apply.

• Credentials must be obtained prior to the start of employment.

• Experience with big data tools, ETL processes and machine learning programs or cloud platforms is preferred.

A successful candidate will support diversity, equity, and inclusiveness and contribute to a respectful, positive work environment. They will use our Campus Values to guide their decisions and actions and demonstrate our Rebel spirit.

Salary competitive with those at similarly situated institutions.

• Competitive total rewards package including:

• No state income tax

• Tuition discounts at Nevada System of Higher Education (NSHE) schools

• Tuition discounts for spouses, domestic partners, and dependents

• Employee recognition and appreciation programs

• UNLV athletics ticket discounts

• Statewide employee purchase program discounts

• Rebel Card discounts on and off campus
• Wellness programming for all UNLV faculty and staff at no cost
• Opportunity for career advancements to leadership roles
• Connect with colleagues with shared interests
• Personal and professional development opportunities
• A comprehensive onboarding program, Rebels:
  Onboard
• Support and resources available for veteran applicants — contact vetjobseekers or visit our Veterans Webpage.

Founded in 1957, UNLV is a doctoral-degree-granting institution comprised of approximately 34,000 students and more than 4,451 faculty and staff. To date, UNLV has conferred more than 186,000 degrees, producing more than 151,000 alumni around the world. UNLV is classified by the Carnegie Foundation for the Advancement of Teaching as an R1 research university with very high research activity, and is…