Post-Doctoral Associate - Computational Health Sciences Division

Overview

Department of Surgery (DOS, (Use the "Apply for this Job" box below).) at the University of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.

• Risk predictive model for clinical outcomes
• casual representation learning for real-world data
• deep learning interpretation, fairness and robustness
• Regularly conduct computational experiments to execute algorithms on various health and biomedical informatics projects
• Assist with new project development including literature review, study design.
• Work under general supervision but usually is given the latitude to make decision on projects that s/he is accountable for delivering on; decisions may involve an approach from 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).

• 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

• Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference, predictive modeling on longitudinal data.
• Expertise in transformers, reinforcement learning, transfer learning
• Experience with leading projects within a research team
• Working knowledge of modern web service and/or software implementation
• Ability to work collaboratively with a diverse group of research scientists with

Pay Range: Minimum $61,008; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

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 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 or call .

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: 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.

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 () at the…