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Job ID360473 LocationAll Other -See Job Description Job FamilyInformation Technology Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9702BI Employee ClassAcad Prof and Admin About the Job Summary of Position: The University of Minnesota Clinical Quality, Outcomes, Discovery and Evaluation (C-QODE) core of the Center for Learning Health System Sciences seeks a full-time data analyst with experience in biostatistics. This position will report to the Data Analytics Manager. Our mission is to facilitate a pathway for investigators to pursue data-centric research that improves healthcare quality and delivery. This position will primarily consist of entry-level data retrieval, collation of data sources, and statistical analysis. The successful candidate will be involved in supporting a variety of multidisciplinary projects with varying complexity and requirements and will work in both individual and team environments. They will also be involved in collaboration with researchers and PIs during intake meetings, follow-ups, and check-ins related to cohorting and analysis.They will mentor new data analyst on cohorting projects during their transition. Our ideal candidate has experience in biostatistics, strong quantitative analytical skills, and a demonstrated ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. CLHSS is committed to diversity, equity, and inclusion in its staffing, operations, and research. Duties/Responsibilities: 60%: Data Analysis Analyzes data collected from data abstraction using R, SAS, and/or SQL. Conducts analysis such as regression analysis, propensity matching analysis, and create solutions for missing data. Synthesizes data in easily readable format and prepares graphs, charts, tables and reports of data. Derives theoretical basis for data and fits data to theory and analysis of error. Maintains annotated, reproducible documentation of codes. Identifies new analytical methods and models to drive insight into health outcomes and quality improvement. Shadows machine learning projects under mentorship of data scientist and works on Machine Learning Projects under their supervision. 35%: Data Cleaning and Data Wrangling Conducts entry-level data retrieval and data transfers to aid in building a dataset requested by our research investigators. Keeps detailed records of data abstractions. Executes data abstractions using methods created by data analysts, Data Analytics Manager, or novel methods developed as needed. Independently creates and plans data cohorts based on the investigator's data request form, researching the relevant literature, meeting with the investigatory team and collaboration with the senior biostatistics data analyst. Reviews literature relating to specific research projects Confers with Data Analytics Manager & Data Programs Manager on division of labor and plans for execution of more complex data requests. Mentoring data analyst to transition into cohorting projects 5% Manuscript writing Assists in writing methods and results sections for manuscript and grant submissions. Work Arrangements: This position follows UMN Work. With Flexibility. guidelines. Currently, the position will be primarily working from home. There may be occasional needs to be on campus and over time there may be a need 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: $72,000-82,000 Qualifications Required Qualifications: BA/BS degree and at least 2 years of relevant experience or master's degree Years of experience and/or coursework to include in information technology, statistics, economics, or management including database management. Ability to perform statistical analyses. Experience working with biostatistics. Familiarity with regression analysis, propensity matching analysis, and solutions for missing data. Development and extensive work with databases. Demonstrated orking knowledge of R, STATA, SQL, or SAS. Excellent verbal & written communication. Demonstrated project management, organizational, analytical and interpersonal skills. Preferred Qualifications: MPH, MS, or related graduate degree. Experience assisting researchers with drafting publications; especially sections such as methods, analysis, and results. Strong hands-on experience and understanding of project implementations, project structure (both formal and informal), project life cycle, and best practice project standards. Strong critical thinking, problem solving and data analysis skills. Ability to handle stressful situations in a positive manner and evidence of experience in a collaborative team environment. Ability to function effectively in a complex organizational environment and ability to successfully relate and interact with diverse groups of people. Positive demeanor and the ability to find creative solutions and workarounds. Experience working in a University environment. 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: med.umn.edu/clhss 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 Forgiveness (PSLF) Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Please visit the for more information regarding benefits. 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... 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.