Specifically state the reasons for your interest in this position and describe the key skills and experiences that directly relate to this position.
The Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP) brings together faculty investigators from multiple U-M schools and colleges and is affiliated with the Institute for Healthcare Policy and Innovation (IHPI). The primary goal of this multidisciplinary research collaborative is to harness existing national, regional, and local healthcare data sets to develop medical prediction models that address complex clinical problems. Through rich interactions with data science methodologists, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs.
This position works under direct supervision of the MiCHAMP Director and must demonstrate the ability to work independently. The ideal candidate understands both database and research complexities, and apply independent problem solving that requires the application of statistical and mathematical principles for clinical and health policy problems. This position will be the Senior Analyst for MiCHAMP as well as a newly-funded digital health center and be involved in a number of data science projects that involve multiple statistical techniques in guidance with other senior investigators on the research team.
This position involves a wide range of tasks including data management, programming, and analysis supporting research based on large national healthcare claims datasets, electronic health records, and other large clinical registries. Specifically, the position involves providing independent and collaborative programming and statistical support for multiple research projects, including:
Providing guidance for study design issues
Performing power calculations and estimating sample size
Writing, testing, and implementing programs using SAS/STATA/R to clean, manage, merge, and analyze large, complex datasets
Implementing methods to ensure data quality
Supporting PIs and others in development of specific analysis plans
Independently conducting appropriate data analyses
Preparing and maintaining technical documentation of data and analytic files
Summarizing, interpreting, and presenting results in written, tabular and visual formats
Assisting in the writing of manuscripts and grant proposals
Participating as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation.
Bachelor's degree in statistics, mathematics, economics, biostatistics, computer science, information, or related field.
Experience with SAS/STATA/R.
Strong statistical background and programming knowledge.
Ability to be consistently and extremely detail-oriented.
Ability to draft statistical tests in accordance with project designs, solve analytic problems, and develop instruments and related analysis plans.
Working knowledge of epidemiologic concepts and methodology.
Experience with complex data structures and linkages between data sources.
Strong interpersonal and written communication skills. Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results. Excellent communication, both oral and written in the English language, and interpersonal skills are essential.
Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
Flexibility and ability to work independently and collaboratively with multiple researchers.
Direct experience in supporting, managing and analyzing major research projects using large datasets (e.g., clinical trials, clinical registries, Medicare, Medicaid, or commercial insurance).
Conversant or some knowledge of any of the following methodologies: Logistic and OLS regression, propensity score matching or weighting, interrupted time series, difference-in-difference analysis, survival models, and cluster analysis. Interest in developing skills in machine learning and Artificial Intelligence tools also is preferred.
Teaching orientation and interest or experience in communicating and sharing programming and statistical approaches with colleagues and other internal partners.
Prior research publications in statistical or medical journals.
Experience with SQL including the ability to write update, select, insert, and join commands.
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: 189306
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.