Assistant Professor - Computational Health Sciences, Department of Surgery

The Division of Computational Health Sciences in the Department of Surgery at the University of Minnesota - Twin Cities is seeking candidates for an Assistant Professor, Academic Track, related to artificial intelligence, machine learning, data science, and biomedical informatics. Exceptional faculty candidates should have a strong scholarly record of developing and applying computational and data science to health and are expected to develop a nationally recognized research program supported by extramural funds. They will access the exceptional patient data and translational opportunities through M Health Fairview and Academic Health Center-Information Exchange, and the Center for Learning Health System Sciences. The successful candidate will join a uniquely interdisciplinary and collaborative research environment of scientists and scholars conducting innovative and impactful research aimed at improving health care outcomes and delivery.

Candidates must have a PhD, MD or equivalent degree with expertise in any area related to computer science, health data science, biomedical informatics. Faculty candidates will have active research on innovative computational methods for health sciences and clinical research. The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.

About the department/division
The Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota Medical School is driven to deliver clinical excellence, compassionate patient care, pioneering research, and the education of surgical leaders. The DOS consists of 62 faculty (47 clinical faculty members), approximately 36 fellows and 54 residents. The DOS has a rich history of renowned basic and clinical science research, distinguishing itself as an academic and clinical center of excellence. The Division of Computational Health Sciences is a newly created division which focuses on development of novel computational methods to analyze biomedical big data for advancing health care.

Working at the University

At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.

The University also offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

Please visit the Office of Human Resources website for more information regarding benefits.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).