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.
A faculty member in the Division of General Medicine, Department of Internal Medicine, seeks an experienced and motivated data scientist to support clinical research in chronic disease epidemiology, geroscience, health services, and machine learning in healthcare. The candidate will join a research team focused on understanding the predictors and prognosis of multiple chronic conditions and how to improve the management and quality of care for these patients.
This position presents an exciting opportunitiy to work with a variety of data sources including observational studies, administrative claims, and the electronic health record (EPIC). Successful candidates must be 1) proficient in diverse research methods, and 2) experienced with or able to learn new datasets. The candidate is also expected to apply independent problem solving to existing and emerging scientific knowledge. Participation in ongoing training through advanced methods workshops and conferences is supported and encouraged.
Work with the PI to determine the appropriate statistical testing/modeling approach.
Create, manipulate, merge, and maintain large, complex datasets.
Conduct appropriate and thorough data analyses including sensitivity analyses.
Prepare and maintain technical documentation of data and analysis files.
Perform power calculations and estimating sample size.
Summarize, interpret, and present results in written, tabular and visual formats for manuscripts and presentations.
Assist with writing methods and specific analysis plans for manuscripts and grants.
Master’s degree in statistics, biostatistics, bioinformatics, clinical informatics, computer science, public health, or related fields.
Competence in at least one statistical programming language (SAS, Stata, R).
1-3 years of experience working on health-related data analysis projects.
Strong computational and organizational skills with attention to detail and accuracy
Ability to work independently and efficiently to recognize and solve technical problems.
Ability to quickly learn and analyze new datasets.
Excellent communication, both oral and written.
Competence using observational data for longitudinal data analysis.
Competence in large administrative datasets such as Medicare claims.
Experience with complex data structures and linkages between data sources.
Experience in machine learning and familiarity with R or Python.
Experience with using data from the electronic health record (EHR)
Experience in SQL for performing simple to advanced SQL quiries of institutional data warehouses
Experience working in Unix/Linus environments for research computing
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. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
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. The review and selection process may begin as early as the eighth day after posting. This opening 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: 177748
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.