Research - Laboratory/Non-Laboratory, Staff/Administrative
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Data Scientist works under the direction of the Division of Quality and Health Improvement (DQHI) Manager to help implement the Department of Pathology's vision for laboratory services that bring greater value to Michigan Medicine providers, payors, and patients. You will design studies to extract clinical data from Michigan Medicine databases (Epic/Clarity) and conduct statistical analyses to provide insights to departmental and institutional decision-makers to identify and guide high impact improvement projects. You will work with the DQHI Director and Manager, other DQHI staff, Department of Pathology Informatics team, Michigan Medicine Quality Analytics, and Department of Pathology Vice Chair for Quality and Clinical Affairs to achieve quantitative insight of clinical care processes that affect laboratory services and vice versa, and patient care.
Design targeted statistical studies to produce data and insights used to plan and support improved healthcare outcomes and processes;
Design statistical studies to frame improvement opportunities (determine sample size, establish data collection methodology and set parameters);
Translate clinical or operational needs into insights;
Evaluate and organize large data sets;
Apply knowledge of inferential statistics and study data to model the impact of improvement opportunities on a broader population to inform quality improvement efforts;
Apply knowledge of regression analysis to estimate the relationships among multiple variables contributing to problematic workflow or practices;
In order to be considered for this position the applicant must have met or will have met all the required qualifications prior to the start date of employment.
B.S. in Statistics, Applied Mathematics, Computer Science, Economics/Econometrics;
3+ years experience with data science job responsibility;
Proficiency with R, Python, SAS or similar statistical/analytical tools;
Working knowledge of SQL to guide and validate extraction of relevant data from the appropriate Michigan Medicine relational databases;
Experience presenting statistical solutions to non-statistical people, explaining value and insights to the business;
Experience in data mining and statistical modeling techniques (regression, decision tree, time series);
Knowledge of optimization theory and statistical model application
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act.
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 195729
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.