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

University of Minnesota; Minneapolis (MN); On-site; USD 80,000 - 120,000; Full time

Job summary

The University of Minnesota is seeking an Assistant Professor in Computational Health Sciences to lead research, teach, and mentor students. This role involves developing data science methods to enhance learning health systems and collaborating on healthcare improvement projects.

Qualifications

• Possession of a terminal degree in health informatics or related field.
• Demonstrated involvement in high-quality research in health informatics.

Responsibilities

• Lead research teams in developing grant proposals and executing projects.
• Provide teaching and mentoring to learners.
• Develop and implement data science methods for healthcare improvement.

Skills

Communication

Data Analysis

Research

Education

PhD

MD

Job description

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

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Responsibilities

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):

Position Description

About the Job

Responsibilities

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.

Qualifications

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.