Job ID361056 LocationTwin Cities Job FamilyInformation Technology Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9702DS Employee ClassAcad Prof and Admin About the Job Summary of Position The Associate Data Scientist will work in parallel with a multi-disciplinary team that is dedicated to improving the data infrastructure for research within the M Health Fairview system. The Data Scientist is passionate about data, the discovery of new knowledge, the process of research, and the implementation and evaluation of new practices into care. This role brings a blend of programming or data query skills, advanced mathematics or other computational skills, research experience and/or interest, and storytelling that helps to guide and inform the development and delivery of high-value services and content in an effort to achieve a decrease in the time it takes for the science to reach the patient and for discoveries to be made. The ideal candidate will be somebody who understands clinical and/or research needs of the Pulmonary, Allergy, Critical Care and Sleep Medicine (PACCS) division, converts those needs to use-cases or analyses, gathers and cleans data as needed, performs analysis, and provides guidance on the evaluation and validation of the data and supporting process. The position will work closely with clinical researchers, informaticists, IT leaders, data experts, and clinical partners to plan, prototype, and build innovative data management, data processes, statistical models, application (e.g., health IT, virtual, or digital), and analytical solutions. A successful candidate will be a person who enjoys diving deep into data, performing analyses, researching, building, and validating solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of clinical care, analytics, health IT, machine learning (ML)/artificial intelligence (AI). Duties/Responsibilities 75%: Data Science and Research Implementation Adept at understanding the research needs around analytics, converting that to research use case, gathering data for that use case and performing analytics using many technologies Execute solutions to research problems using data analysis, data mining, forecasting, optimization tools, machine learning, and natural language processing techniques and statistics Work closely with medical researchers, IT leaders, data experts and clinical partners to plan, prototype, and build innovative data management and analytical solutions Develop a range of analyses from foundational statistical analysis to more advanced data science methods to drive valid and efficient practices with data analysis Serve as an advocate in promoting a data-driven culture, working closely with researchers, leadership, and other data scientists/data analysts to facilitate data building, housing, cleaning, and analysis, in particular as it relates to the needs of the PACCS division Work with inter-disciplinary teams including, CLHSS staff, faculty, and other IT professionals to take analytics work from ad hoc solutions to build into practice, as appropriate 15%: Maintenance and Administrative Support of Data Develop and maintain supporting documentation related to programming Provide quality assurance related to the storage and acquisition of new data 5%: Dissemination of Project Results and Findings Document experiment findings and results with supporting statistics for peer review and publication 5%: Support Data Core of CLHSS Support creation of analytical datasets to support observational research studies Actively participate in program and center meetings and events Help define and implement shared best practices and process flow across related CLHSS programs and partners Other duties as assigned Work Arrangements This position follows UMN Work. With Flexibility guidelines. Currently, the position will be mostly working from home. There may be occasional needs to be on campus and over time there may be a n ed to set a regular schedule for a few days on campus each week. Work hours should follow a regular schedule between 7-5, M-F. Salary range: $85,000-93,000 Qualifications Required Qualifications Bachelor's degree in a quantitative field such as statistics, computer science, data science, engineering or applied mathematics with at least two years of experience, or a master's degree Experience utilizing analytical software such as SQL, R, Python, Stata, data mining, and predictive analytics. Demonstrated ability to effectively communicate both verbally and in writing, to communicate ideas clearly and prepare scientific manuscript methods and results Ability to function well in a fast-paced research environment, well organized, self-motivated to set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs Work well in diverse teams, as well as independently, to partner effectively with multiple groups across several organizations Demonstrated project management, organizational, analytical and interpersonal skills. Preferred Qualifications Advanced degree in a quantitative field such as statistics, computer science, engineering or applied mathematics. Data science experience (data creation/development, wrangling, cleaning, predictive modeling, data science and analysis) Experience in advanced analytics/statistics, predictive modeling, machine learning, data visualization Experience utilizing data from Electronic Health Records and other administrative records. Experience as part of a clinical research team. Positive demeanor and the ability to find creative solutions and workarounds About the Department The Center for Learning Health System Sciences is a one-of-a-kind partnership between the Medical School and School of Public Health with a goal to decrease the time it takes for science to make it from the lab to the clinic in pursuit of better health outcomes for the patients we serve. CLHSS is composed of a core and five programs spanning the data-knowledge-practice LHS lifecycle including evidence synthesis, pragmatic trials, digital health, and data democratization and model development. CLHSS is committed to diversity, equity, and inclusion in its staffing, operations, and research. Learn more about the center by visiting: Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside 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 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... For full info follow application link. 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.