Assistant Professor - Computational Health Sciences/Center for Learning Health System Sciences

Position Description:
The Assistant Professor will be expected to undertake responsibilities in the following areas, subject to the needs of the Division of Computational Health Sciences (CHS) in the Department of Surgery and Center for Learning Health System Sciences (CLHSS):

Research - Identifying funding opportunities and participating in and/or leading research teams in developing grant proposals and executing the resulting grant projects once awarded. Conducting research in applied real world data science and real world evidence, either facilitating these evaluations or leading evaluations together with broader research teams. Developing research interests specific to the faculty's interest.

Service - Leading or serving on committees and taking on responsibilities directly related to those projects and applications aligned with Surgery's commitment and CLHSS's commitment to advancing biomedicine and data science, learning health system research, implementation, and education. Contribute to the development of the profession through participation in national and/or international associations, publications, and/or other related activities. Continue personal growth within the profession, keep current with the field, and broaden their knowledge and expertise.

Teaching and Mentoring - As a faculty member at UMN, provide teaching and other related activities with learners, including mentoring of peers and trainees in your area of expertise.

Real-World Data Analysis Core Faculty Role, CLHSS - This role will lead the development, implementation, and scalability of data science methods to support CLHSS efforts to increase analytics capacity for learning health systems. Partner with CLHSS members and other stakeholders to perform projects aimed at advancing real-world evidence in collaboration with operational and research partners including CLHSS and collaborator projects. Learn about real world data in healthcare for various projects. Example projects include facilitating evaluation of digital innovation work, analysis of population health data, and analyses for various healthcare problems (e.g., AI models and research insights). Efforts will also include conducting high quality research associated with healthcare improvement projects within CLHSS to mature these practices over time and to share best practices and learnings.

Required Qualifications:
* Possession of a terminal degree (PhD, MD or equivalent) in health informatics or related field or equivalent experience (e.g., statistics, computer science, data science, clinical informatics fellowship).
* Demonstrated involvement in high-quality research in health informatics around health IT or data evaluation which has been accepted for publication or is published in peer-reviewed national or international journals.
* Documentation of competence in the skills of communication, including effective communication in teaching students and in oral and written presentations of research.
* Expertise in analysis techniques across a range of application areas and solution sets.
* Experience collaborating with interdisciplinary team members in the process of research.

Preferred Qualifications:
* Demonstrated ability in teaching and course development
* Expertise and experience in working with healthcare data, disease areas and clinical themes.
* Project management skills or familiarity with project management and program management methodologies.
* Familiarity with healthcare data, biomedical data representation.

Program Description:
The academic home of this position will reside with the Division of Computational Health Science (CHS) in the Department of Surgery (DOS). The DOS strives to be the preeminent department of surgery in Minnesota serving patients of the world where groundbreaking research and exceptional training come together to produce the unrivaled care that we demand for our loved ones. DOS ranked #4 in NIH Blue Ridge ranking in 2024. The Division of CHS focuses on the development of novel computational methods to analyze biomedical big data for advancing health care.

Our mission is to deliver:
* Clinical Excellence
* Compassionate Patient Care
* Pioneering Research
* Education of Surgical Leaders

The Center for Learning Health System Sciences (CLHSS) is a one-of-a-kind partnership between the Medical School and School of Public Health with a goal to decrease the time it takes for science to make it from the lab to the clinic in pursuit of better health outcomes for the patients we serve. Learn more about the center by visiting: med.umn.edu/clhss

Pay Range: $100,000 to $130,000; depending on education/qualifications/experience

Time Appointment Category: 75%-100% Appointment (If job description above does not specify appointment or expected weekly hours, assume a 100% appointment.)

Position Type: Faculty and P&A Staff

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

The University 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
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

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.

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).