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The Cleveland Clinic Department of Quantitative Health Sciences is seeking an early to mid-career biostatistician for a faculty position at the Cleveland Ohio Main Campus. This role is particularly focused on leading biostatistical collaborations with the Lou Ruvo Center for Brain Health (LRCBH), which is dedicated to the care of patients suffering from memory loss, dementia, and other cognitive/behavioral disorders associated with aging. The LRCBH is recognized for its commitment to understanding the pathobiology of these disorders and developing effective treatments. It is also home to the NIA-sponsored Cleveland Alzheimer's Disease Research Center (CADRC) and has received a Research Center of Excellence designation from the Lewy Body Dementia Association. With a research budget exceeding 25 million dollars, the center is poised for significant contributions to the field. The primary responsibility of the successful candidate will be to leverage multiplex analyte platforms, proteomic data, and MRI/PET imaging, alongside clinical variables, to develop data-driven disease progression models and risk assessments over the next five to eight years. The candidate will lead the biostatistical design and analysis for both observational studies and clinical trials. Additional expertise in areas such as novel clinical trial design, computational pipelines for high-dimensional data analysis, machine learning, omics analyses, longitudinal modeling, and structural equations modeling will be highly desirable. The new hire will also oversee and mentor a Master's degree Biostatistician currently employed at the center. This position is structured as 70% collaboration and 30% protected time for independent research, and it includes an appointment to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University at a rank commensurate with experience. Candidates should possess a strong desire to collaborate on complex problems in neurodegenerative disease research and a commitment to publishing journal articles. Excellent written and oral communication skills in English are essential for this role.
