Physiatry Outcomes Statistician
POSITION DUTIES: Work as a member of research team and provide expertise in research design for a sports medicine research and musculoskeletal research lab that focuses on clinical trials, epidemiology, outcomes, and genetics research on patients with rehabilitation and orthopedic conditions, such as rotator cuff tears. Use quantitative and qualitative research methods to participate in design, coordination, and conduct of research projects. Assist in designing methods to collect research data, including procedures for collection, cleaning, and data management. Assist in preparing datasets for analysis and data analysis plans. Use advanced programming in SAS and R with statistical expertise to manage and analyze data. Manage large and complex datasets. Perform data management and make clinical trials operations reports using statistical software. Assist in preparation of data analysis sections for manuscript, grants, and oral presentations, as well as write statistical portion of manuscripts/grants based on results of analysis and address manuscript revisions based on reviewers’ comments. Collaborate with investigators to identify problems and provide statistical consultation, including design of experiments, analysis of data and interpretation of results. Collaborate in grant development. Perform non-statistical components of consulting, such as providing analogous examples and explanations using non-technical terminology and helping researchers formulate and clarify research issues. Up to 100% work from home.
REQUIREMENTS: Requires Master’s degree in Public Health, Biostatistics or closely-related field + 2 years of healthcare database management experience, which includes: managing clinical trial databases for rotator cuff tear studies; performing data abstraction, coding, integration of registry and imaging sources; analyzing longitudinal datasets for multi-phase musculoskeletal and PCORI-funded research; performing statistical modeling, visualization, and sensitivity analyses using RStudio and SAS; and providing input on studies using HCUP databases.
The University of Michigan is an equal opportunity employer. Background check & drug screen required upon offer acceptance.
