Health AI Scientist (Researcher 5)

About the Job

Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking one research scientist to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process in the Division of Health Data Science (HDS) at the DOS.

About the Program

Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.

Duties/Responsibilities

• Regularly conduct computational experiments to execute AI algorithms on various health and biomedical projects
• Aid in the development of new projects including literature reviews, study designs, and experiment conduct.
• Work under general supervision but usually have the latitude to make decisions on projects they are accountable for delivering on; these decisions may involve choosing among alternatives, determining how to best use available resources.
• Design and/or implement AI methods, summarize findings, and generate study results for research topics.
• Write, edit, or critique technical reports and/or publications describing research results to sponsors or funders of the research.
• Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats).

Qualifications

• Required Qualifications:
• A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
• Strong programming skills in Python, Java, etc.
• Expertise in machine learning, neural networks, and deep learning.
• Excellent writing and communication skills.
• Highly motivated, ability to identify potential problems and develop solutions.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
• Preferred Qualifications:
• Research experience in natural language processing especially larger language models on biomedical and/or clinical texts, graph neural networks, predictive modeling on longitudinal data.
• Expertise in deep learning, reinforcement learning, transfer learning,

About the Department

To learn more about the Department of Surgery, please visit: https://med.umn.edu/surgery

Pay and Benefits

Pay Range:
Time Appointment: 75%-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

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 be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional Documents

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.

Contact Information

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

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 University of Minnesota

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.