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Source Point Staffing

Statistician I (Pediatric Mental and Behavioral Health Research) Hybrid

Source Point Staffing, Milwaukee, Wisconsin, United States, 53244


Statistician I (Pediatric Mental and Behavioral Health Research) HybridWe're looking for those individuals - the creative thinkers and innovation seekers - who are content with nothing short of changing the world. Discover the endless opportunities within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to improve health and make a positive, daily impact in our communities. In the role of

Statistician

you will be working in Pediatrics.PurposeDevelop or apply mathematical or statistical theory and methods to collect, organize, analyze, interpret, and summarize mental and behavioral health numerical data to provide usable information. May specialize in fields such as quantitative statistics, data science, computer science and/or predictive analytics. Experience with the use of artificial intelligence strategies to support predictive analytics and/or data generation is highly desirable. This position will support the Children's Wisconsin Mental and Behavioral Health Research Program and be part of a growing data science and analytics team supporting its efforts.Primary FunctionsIdentify relationships and trends in data, as well as any factors that could affect the results of research.Report results of statistical analyses, including information in the form of graphs, charts, and tables.Analyze and interpret statistical data to identify significant relationships and/or differences among sources of information.Adapt statistical methods to solve specific problems in areas important to mental and behavioral health decision making, such as outcomes, economics, trends across time, implementation, and research specific hypotheses.Develop software applications or programming to use for statistical modeling and graphic analysis.Develop and test experimental designs, sampling techniques, and analytical methods.Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.Integrate and manage large datasets.Present statistical and non-statistical results using charts, bullets, and graphs in meetings or conferences to audiences such as executive leadership, peers, donors, and students.Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.Perform other duties as assigned.Knowledge - Skills - AbilitiesKnowledge of quantitative statistics, data science, computer science and/or predictive analytics, documentation, and records management. Data utilization, complex problem solving, critical thinking, resource management, and writing skills.Position Requirements:SpecificationsAppropriate experience may be substituted for education on an equivalent basisMinimum Required Education: Master's DegreeMinimum Required Experience: 1 yearPreferred Experience: Experience with applying artificial intelligence approaches (e.g., machine learning) to large datasets.Field: Quantitative statistics, data science, computer science and/or predictive analyticsWhy MCW?Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options.403B Retirement PackageCompetitive Vacation and Paid Holidays offeredTuition ReimbursementPet InsuranceOn campus Fitness Facility, offering onsite classes.Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.MCW is committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status.

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