Post-Doctoral Associate - Computational Health Sciences Division

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

Benefits offered by this job

Competitive wages

Paid holidays

Continuous learning opportunities

Medical, dental, and pharmacy plans

Employee wellbeing program

Job summary

A prominent educational institution in Minneapolis seeks two postdoctoral research associates to work on health data science, artificial intelligence, and natural language processing projects. Candidates must hold a Ph.D. in a related field and possess strong programming and machine learning skills. The position offers a competitive pay range starting at $61,008 and a comprehensive benefits package, including paid holidays and continuous learning opportunities.

Qualifications

• Ph.D. degree required in a relevant technical field.
• Strong programming skills, particularly in Python.
• Expertise in machine learning and deep learning.

Responsibilities

• Develop risk predictive models for clinical outcomes.
• Conduct computational experiments on health projects.
• Communicate research results to various stakeholders.

Skills

Programming skills in Python

Machine learning expertise

Deep learning proficiency

Excellent writing skills

Problem-solving abilities

Communication skills

Education

Ph.D. in Biomedical/Health Informatics or related field

Tools

Java

Transformers

Reinforcement learning

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.

Duties/Responsibilities

• 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).

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 with

Pay and Benefits

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

Diversity and EEO

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.