The biostatistician will support a highly interactive research team in the Michigan Kidney Translational Medicine Core (MiKTMC), Department of Nephrology at the University of Michigan, Michigan Medicine. We utilize the newest technologies and systems to analyze and review data provided to us by our multiple research consortia.
Our lab uses a variety of approaches to yield biological insight into the underlying causes of kidney diseases. These approaches include the development of new statistical analysis methods, meta-analysis across cohorts, and the linking of clinical data to high dimensional, omics datasets. Our group is extremely collaborative both through formal participation in consortia and through informal collaborations with research investigators, physician scientists and experimental groups worldwide. We are looking for an individual who has a strong background in machine learning, programming languages, and statistical methods.
We are seeking an experienced and dynamic staff member with a commitment to contributing to a diverse, equitable and inclusive environment for all members of our community.
The biostatistician will be able to conduct the following activities:
Develop and implement programs using SAS/STATA/R/Python to clean, manage, merge, and analyze large, complex, high dimensional, longitudinal datasets from multiple sources. Contribute to study design decisions, perform power calculations, and estimate sample size. Perform statistical analyses using a variety of statistical models and methods, including generalized linear regression, survival analyses, mixed models, logistic regression, and machine learning techniques. Implement methods to ensure data quality, including development of appropriate analysis plans, independently conducting appropriate data analyses, documentation of methodology and participation in code review. Prepare and maintain technical documentation of data and analytic files. Summarize, interpret, and present results in written, tabular and visual formats. Assist in the writing of manuscripts and grant proposals. Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming, and documentation. Other duties as assigned. Bachelor degree required Minimum of 3-5 years professional experience required Ability to work with large, complex data sets Proficient in statistics and coding software (SAS, R, SQL etc) Strong communication skills with the ability to convey technical concepts effectively such that various audiences receiving the communication can understand. Masters degree preferred Experience working with team science groups to meet a common goal. 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.
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.
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