Apply for Job Job ID355261 LocationTwin Cities Job FamilyResearch-Researchers Full/Part TimeFull-Time Regular/TemporaryRegular Job Code8352R4 Employee ClassCivil Service Add to Favorite Jobs Email this Job About the Job 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 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 Division of Health Data Science 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 (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, 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 * 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). Qualifications All required qualifications must be included in the application materials 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 rapid 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 About the Department To learn more about the Department of Surgery, please visit:https://med.umn.edu/surgery Pay and Benefits Pay Range: $26.00 - $33.65; depending on education/qualifications/experienceTime Appointment: 75%-100% Appointment Position Type: Civil-Service & Non-Faculty Labor Represented StaffPlease visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits packa e 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 pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Employee Transit Pass with free or reduced rates in the Twin Cities metro area How To Apply 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@umn.edu or call (612) 624-UOHR (8647). Diversity 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. About the U of M The University of Minnesota, Twin Cities (UMTC) The University 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 most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. 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.