Post-Doctoral Associate - Computational Health Sciences Division

University of Minnesota; Saint Paul (MN); On-site; USD 54,907 - 67,108; Full time

Job summary

The University of Minnesota Department of Surgery, within the Division of Health Data Science, seeks two postdoctoral research associates to join multiple projects in health data science, artificial intelligence, natural language processing, and computer vision. These are annually renewable professional academic appointments.

Responsibilities include building risk prediction models, causal representation learning, and deep learning interpretation; conducting experiments; contributing to

Qualifications

• PhD in Biomedical/Health Informatics, CS, IS, NLP, Data Science, AI, or related field.
• Strong programming skills in Python, Java, etc.
• Expertise in machine learning, neural networks, and deep learning.
• Excellent writing and communication skills.
• Ability to function well in a fast-paced research environment and meet deadlines.

Responsibilities

• Develop risk predictive models for clinical outcomes.
• Conduct causal representation learning on real-world data.
• Apply deep learning methods with emphasis on interpretation, fairness and robustness.
• Run computational experiments across health and biomedical informatics projects.
• Assist with project development including literature reviews and study design.
• Deliver results and write/critique technical reports and publications.
• Communicate and present analytical results to researchers and faculty.

Skills

Python

Java

Machine learning

Deep learning

Writing

Fast-paced work

Education

PhD in Biomedical/Health Informatics, CS, IS, NLP, Data Science, AI or related

Job description

Overview

Department of Surgery (DOS, https://med.umn.edu/surgery) 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.

Responsibilities

• Risk predictive model for clinical outcomes
• Causal 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 given latitude to make decisions 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)

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 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.

Pay Range

Minimum $61,008; depending on education/qualifications/experience.

Benefits

• 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

Equal Employment Opportunity

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 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.