Institute for Health Informatics Faculty Opening - Natural Language Processing/Knowledge Representation/Relational Data Modeling (Tenure/Tenure Track, Assistant/Associate/Full)

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Job ID

360349

Location

Twin Cities

Job Family

Academic

Full / Part Time

Full-Time

Regular / Temporary

Regular

Job Code

9403

Employee Class

Instr Fac / TC and Coord Cmp

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About the Job

University of Minnesota Institute for Health Informatics Faculty Position in Natural Language Processing / Knowledge Representation / Relational Data Modeling (Tenure / Tenure Track)

The Institute for Health Informatics (IHI) at the University of Minnesota (UMN), Twin Cities, invites applications for one or more open rank positions (tenure / tenure track) with specialized expertise in the Biomedical Artificial Intelligence areas of Natural Language Processing, unstructured data modeling, and knowledge representation.

The IHI is an institution-wide Institute with 21 core faculty, 65 affiliate faculty, 3 graduate (MS, MHI and PhD) programs with 80+ students and several joint and affiliate educational programs.

IHI faculty lead investigator-initiated projects in the areas of Clinical Informatics, Translational Bioinformatics, AI for Healthcare improvement, Precision Medicine Informatics, Predictive and Causal Machine Learning, and NLP.

They engage in numerous collaborative proposals across the UMN 6 Health Sciences Schools and across the disease spectrum.

Several NIH-funded centers and state-wide initiatives are led, co-led or substantially supported by IHI faculty including major efforts in computational psychiatry, longevity / aging science, Cancer Research to name a few areas.

The sister CTSI Health Informatics Program provides access to substantial institutional and external data used for research as well as extensive data management, consulting and collaborative science infrastructures and connectivity to collaborators across the translational spectrum.

The IHI has a strong track record in NLP method development and applications in EHRs including multiple NIH-funded investigators in this area.

We seek to expand our faculty capacity and capability in the following AREAS of FOCUS :

• Biomedical NLP using Deep Learning, causal inference and other forward looking methods.
• Biomedical Knowledge Representation and Reasoning including computable guidelines, biological pathway modeling and induction from literature, computational models of cognitive

decision making.

Analysis of relational database, citation / literature, social media, and other analysis and

modeling of unconventionally-structured data.

This is an open-rank search including :

Junior faculty to be appointed as tenure track Assistant Professors. Successful candidates will have formal doctoral-level training in AI, Computer Science, Computational Linguistics, LP or related discipline with extensive training in the health sciences.

They should have early career accomplishments (methodological innovations, publications, early career grants) that suggest high likelihood of making significant and nationally-impactful contributions in their field of study.

Mid-career or senior faculty to be appointed as tenure-track / tenured Associate or tenured Full Professors. Successful candidates will have formal doctoral-level training in AI, Computer Science, Computational Linguistics, NLP or related discipline with extensive training in the health sciences.

They should have significant and nationally-impactful career accomplishments (major methodological innovations, applications, publications, funding record) that suggest high likelihood of sustained and expanding nationally-impactful contributions and thought leadership in their field of study.

The successful faculty candidates will be expected to :

• Develop and lead a research program of enduring scientific impact in the above AREAS of FOCUS.
• Participate in student and junior faculty mentoring and teaching in IHI's graduate programs.
• Participate in various service and shared governance committees and activities.
• Faculty candidates with appropriate backgrounds can also have cross-appointments in related fields to help facilitate research program development and teaching endeavors.

Benefits

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

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

How To Apply

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 curriculum vitae.

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.

Applicants should submit a cover letter, curriculum vitae, and a research statement that includes a paragraph on their educational perspective.

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.

Diversity

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

Employment Requirements

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.

About the U of M

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).