Job ID: 360487 About the Job Overview
Department of Surgery (DOS, ) at the University of Minnesota is seeking twopostdoctoral research associates to join a team working on
multiple research projects in the field of health data science, artificialintelligence and natural language process, computer vision in the Division of Health Data Science (HDS)
at the DOS. The position is anannually renewable professional academic appointment. Duties/Responsibilities:
* Risk predictive model forclinical 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 withnew project development including literature review, study design.
* Work under general supervision but usually is given the latitude tomake 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 generatestudy
results for research topics
* Write, edit or critique technical reports and/or publications describing research
results tosponsors or funders of the research,
* Communicate and present analytical results to researchers, faculty, and other
academicprofessionals in associated fields of expertise (spoken presentations,
poster or written work summaries for display, panels, and otherformats). Qualifications Required Qualifications:
* A Ph.D. degree in Biomedical/HealthInformatics, Computer Science, Information
Science, Computational Linguistics, Data Science, Artificial Intelligence, or a
relatedtechnical field.
* Strong programming skills in Python, Java, etc.
* Expertise in machine learning, neural networks, and deeplearning
* Excellent writing and communication skills
* Highly motivated, ability to identify potential problems and developsolutions.
* Ability to function well in a fast-paced research environment, set priorities to
accomplish multiple tasks withindeadlines, and adapt to ever changing needs Preferred Qualifications:
* Research experience in natural languageprocessing on biomedical and/or
clinical texts, computer vision on medical images, causal inference, predictive
modeling onlongitudinal data.
* Expertise in transformers, reinforcement learning, transfer learning
* Experience with leading projects within aresearch team
* Working knowledge of modern web service and/or software implementation
* Ability to work collaboratively with adiverse group of research scientists with About the Department
About the Program
Division of HealthData Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big datafor
advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program () at the Institute for Health informatics is a team ofinvestigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedicaltasks.
About the Department
Committed to innovation and diversity, the Medical School educates physicians, scientists,and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We valueexcellence, inclusiveness, collaboration, and discovery.
To learn more about the Department of Surgery, please visit: Benefits Working at theUniversity
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who areinterested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your lifeoutside 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 pharmacyplans Healthcare and dependent care flexible spending accounts University HSA contributions Disability andemployer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution PublicService Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions of counselingat no cost Please visit the Office of Human Resources website formore information regarding benefits. How To Apply
Applications must be submitted online. To be consideredfor this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an onlineapplication for the position and attach a cover letter and resume.
Additional documents may be attached after application byaccessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request anaccommodation during the application process, please e-mail or call (612)624-8647. Diversity
The University recognizes and values the importance of diversity and inclusion inenriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting andretaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity inits 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 aboutdiversity at the U: EmploymentRequirements
Any offer of employment is contingent upon the successful completion of a background check. Our presumption isthat prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists fromemployment. About the U of M The University of Minnesota, Twin Cities (UMTC)
TheUniversity 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 mostvibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships withworld-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public serviceorganizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as wellas 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).
