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.
Providing guidance for study design issues
Performing power calculations and estimating sample size
Writing, testing, and implementing programs using R/Python/Matlab 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
Master’s degree in statistics, mathematics, economics, biostatistics, computer science, information, or related field.
3+ years of professional experience.
Experience with R/Python/Matlab/TensorFlow.
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, Multilevel analysis, 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: 196890
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.