University of Minnesota Twin Cities
Health AI Engineer (Researcher 4)
University of Minnesota Twin Cities, Minneapolis, Minnesota, United States, 55400
About the Job
Department of Surgery (DOS,
https://med.umn.edu/surgery ) at the University of Minnesota is seeking Masters or Ph.D. level programmer to join a team working on multiple research projects in the field of health data science, artificial intelligence, and biomedical informatics in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
About the Program
The Division of Health Data Science is a newly created division which focuses on the 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 ) 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 algorithms on various health and biomedical informatics projects.
Assist with new project development including literature review and study design.
Work under general supervision but usually is given the 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.
Implement NLP algorithms, 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; proof text, tables, and data analysis files for software, code, and experiments.
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:
M.S. in Computer Science, Informatics, Computational Linguistics, Statistics, or related technical disciplines and two years of experience. Or a bachelor's degree in Computer Science, Informatics, Computational Linguistics, Statistics, or related technical disciplines and four years of experience.
Understanding of algorithms, data structures, and software engineering principles.
Strong programming skills in Python/Perl or Java. Knowledge of C/C++, SQL. The successful candidate must be able to demonstrate these skills with sample code written in these languages.
Understanding of key natural language processing, data mining, machine learning, and statistical methods.
Experience working independently in a rapidly changing scientific environment.
Preferred Qualifications:
Research experience in natural language processing, text mining in electronic health records, biomedical literature, and/or social media data.
Knowledge of medical terminologies and ontologies (e.g., UMLS, SNOMED-CT, ICD).
Expertise in Machine Learning, Neural Networks, and Deep Learning for NLP tasks.
Experience in publishing and presenting scientific papers in conferences/journals.
Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise.
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Department of Surgery (DOS,
https://med.umn.edu/surgery ) at the University of Minnesota is seeking Masters or Ph.D. level programmer to join a team working on multiple research projects in the field of health data science, artificial intelligence, and biomedical informatics in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
About the Program
The Division of Health Data Science is a newly created division which focuses on the 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 ) 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 algorithms on various health and biomedical informatics projects.
Assist with new project development including literature review and study design.
Work under general supervision but usually is given the 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.
Implement NLP algorithms, 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; proof text, tables, and data analysis files for software, code, and experiments.
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:
M.S. in Computer Science, Informatics, Computational Linguistics, Statistics, or related technical disciplines and two years of experience. Or a bachelor's degree in Computer Science, Informatics, Computational Linguistics, Statistics, or related technical disciplines and four years of experience.
Understanding of algorithms, data structures, and software engineering principles.
Strong programming skills in Python/Perl or Java. Knowledge of C/C++, SQL. The successful candidate must be able to demonstrate these skills with sample code written in these languages.
Understanding of key natural language processing, data mining, machine learning, and statistical methods.
Experience working independently in a rapidly changing scientific environment.
Preferred Qualifications:
Research experience in natural language processing, text mining in electronic health records, biomedical literature, and/or social media data.
Knowledge of medical terminologies and ontologies (e.g., UMLS, SNOMED-CT, ICD).
Expertise in Machine Learning, Neural Networks, and Deep Learning for NLP tasks.
Experience in publishing and presenting scientific papers in conferences/journals.
Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise.
#J-18808-Ljbffr