Assistant Professor, Biomedical Data Science & Health Informatics

Summary

The College of Computing at Michigan Technological University invites applications for multiple tenure track faculty positions in the broad areas of biomedical data science and health informatics. Data Science, in all of its forms, is a major priority for the College, and these positions are critical to that effort. The College currently offers 15 degree programs, including a BS in Data Science, MS in Data Science, and MS in Health Informatics. Preliminary discussions regarding a PhD in Data Science have begun, and the College is actively planning for a Department of Data Science to house these programs, faculty, and staff. The anticipated start date is August 2025.

The successful candidate will be a member of the Department of Applied Computing within the College, although, depending upon background, joint appointments with other departments are possible. Primary consideration will be for applicants at the rank of Assistant Professor, although applicants with the education, experience, and accomplishments commensurate with a higher rank may be considered for an appointment at the rank of Associate Professor or Professor. Applicants with research and/or teaching interests in all areas of biomedical data science are encouraged to apply, including AI/ML in biomedicine and healthcare, clinical decision support systems, health data analytics and big data, computational epidemiology, medical imaging and computer vision, longitudinal data analysis, mHealth and Internet of Medical Things, biomedical data ethics and governance, security and privacy, and similar areas.

Michigan Tech is Michigan's flagship technological university, and starting next year will be one of only four Carnegie classified R1 institutions in Michigan. The university provides its graduates with an extremely high return on investment through its academic rigor and focus on experiential learning. Located in Michigan's scenic Upper Peninsula's Anishinaabe/Ojibwe lands on the south shore of Lake Superior, the university also provides a high standard of living. The community offers a small-town environment with outstanding four-season recreational opportunities.

Providing additional research support, the successful candidates will be supported by two of the university's fastest-growing research institutes, the Health Research Institute and the Institute of Computing and Cybersystems (ICC). The latter is composed of multiple centers, including centers focused on Biocomputing & Digital Health, and AI. Faculty with research interests in biomedical data science are expected to be active contributors to the Computational Science and Engineering PhD program, which supports doctoral research in a wide array of engineering and science problems through the application of software and hardware technologies. Finally, the new H-STEM Complex opened in January 2024, which has significantly increased our biomedical research capacity and serves as a focal point for biomedical research. As a result of these cross-disciplinary collaborative efforts, the university is successfully building a vibrant biomedical research enterprise where interdisciplinary expertise is shared and valued.

Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students. Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (https://www.mtu.edu/diversity-inclusion/).

Responsibilities

Contribute in a meaningful way to the mission of Michigan Tech's College of Computing: To advance the transformational promise of computing in the service of society through excellence in teaching, research, and outreach.

Develop a vigorous externally funded research program in areas of interest while fostering internal and external collaborations.

Engage in undergraduate and graduate teaching and mentorship while maintaining a high level of student interaction.

Participate in department, college, university, and professional service activities.

Integrate safety practices into daily activities and commit to learning about continuous improvement strategies and applying them to everyday work.

Required Education, Certifications, Licensures

The successful candidate will have an earned doctorate in data science, health informatics, bioinformatics, computational medicine, computer science, or a closely related discipline at the time of employment.

Required Experience

Demonstrated potential to be successful in graduate and undergraduate teaching, mentorship, and student success.

Research experience leading to the publication of scholarly work in venues appropriate to the field of study.

Experience in contributing to externally funded research projects.

Desirable Education and/or Experience

Teaching experience at the university level.

Translational and/or entrepreneurial experience in areas of research expertise.

Required Knowledge, Skills, and/or Abilities

Strong oral and written communication and presentation skills to a diverse audience.

Ability to conduct independent research and contribute to the field of study.

Proficiency in grant writing and project management.

Desirable Knowledge, Skills, and/or Abilities

Demonstrated ability to design and deliver university-level courses in both in-person and online formats.

Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints.

Demonstrated ability to lead and manage a research team, including graduate students, undergraduate students, research staff, and other faculty.

Demonstrated activity within professional organizations related to the applicant's research area(s).

Language, Mathematics and/or Reasoning Skills

Work Environment and/or Physical Demands

The work environment is that of a typical office and/or classroom setting. The noise level in the work environment is usually low to moderate.

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

Required University Training:

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  Employee Safety Overview

  
  
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  Anti-Harassment, Discrimination, Retaliation Training

  
  
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  Annual Data Security Training

  
  
• Annual Title IX Training

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:

The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.

1

FLSA Status

Exempt

Appointment Term

9 months

Shift

Pay Rate/Salary

Title of Position Supervisor

College Dean

Posting Type

Dependent on Funding

Special Instructions to Applicants (if applicable)

Review of applications will begin on October 31, 2024, and continue until the positions are filled. Applicants should submit a cover letter, curriculum vitae, and brief research and teaching statements. We strongly encourage applicants to address the required and desired qualifications in their cover letter along with an explanation of how they will contribute to the Vision and Mission of Michigan Tech. Applicants will be asked for the names and contact information of three reference providers.

To apply, visit http://www.employment.mtu.edu/cw/en-us/job/493709. For more information, please contact the search committee chair, Dr. Guy Hembroff, hembroff@mtu.edu.

Additional Information

Founded in 2019, the College of Computing at Michigan Tech is Michigan's first and largest computing-focused college. The College is in a phase of rapid growth and investment, including multiple new faculty positions, new academic programs, and planning for a new building. Since 2019, enrollment in the college has grown by two-thirds and research expenditures have tripled. Last year alone, Michigan Tech climbed 26 spots nationally, from 115th to 89th, for computing and information science research expenditures (source: NSF-HERD survey). The College is organized into two departments, the Department of Computer Science and the Department of Applied Computing, with several programs shared by faculty in both. Areas of research strength include: applied AI/ML, computing education, cybersecurity, data science, health informatics, mechatronics and robotics, software engineering, and systems and scalable architectures.

Michigan Tech is proud to be an ADVANCE Institution that has thrice received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM.

Michigan Tech recognizes the importance of supporting faculty members' partners; candidates selected for on-campus interviews will be invited to bring a guest. Additional details on our Partner Engagement Program can be found at https://www.mtu.edu/provost/programs/partner-engagement/.