The Cleveland Clinic Department of Quantitative Health Sciences has a faculty opening, at the Cleveland Ohio Main Campus, for an early to mid-career biostatistician with interest in a long-term commitment to lead biostatical collaborations with Cleveland Clinic's Lou Ruvo Center for Brain Health (LRCBH). The center is dedicated to the care of patients with memory loss, dementia and other cognitive/behavioral disorders of aging, the pursuit of a better understanding of the underlying pathobiology of these disorders, and the development of more effective treatments. The center is located on the main campus of the Cleveland Clinic in Cleveland, Ohio. The LRCBH is home to the NIA sponsored Cleveland Alzheimer’s Disease Research Center (CADRC) and has a Research Center of Excellence designation by the Lewy Body Dementia Association. The research budget at the center is over 25 million dollars.
The primary need for the next five-eight years is for the statistical expert to be able to leverage multiplex analyte platforms, proteomic data, and MRI/PET imaging along with clinical variables to help develop data driven disease progression models and risk assessment. The successful candidate will lead biostatistical design and analysis for observational studies and clinical trials. Additional expertise in one or more of the following areas would be desirable: novel clinical trial design, developing computational pipelines for high-dimensional data analysis, modelling multidimensional datasets, machine learning, omics analyses, longitudinal modeling, structural equations modeling, use of electronic medical record data, and adaptive network analysis. Currently the center employs one Master’s degree Biostatistician whom the new hire will oversee and mentor. LRCBH investigators seek expertise from a PhD-level scientist for addressing complex research questions in neurodegenerative disease research, database management and study design.
This is a hard-money position with no explicit requirements to obtain salary support.
The position is 70% collaboration and 30% protected time for independent research.
The position includes an appointment to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University at rank commensurate with experience. Candidates should enjoy collaborating on and bringing creative analytic approaches to complex problems in neurodegenerative disease research and have a strong desire to publish journal articles. Excellent English written and oral communication skills are essential.
The Department of Quantitative Health Sciences has 30 faculty and over 130 members. Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing, predictive modeling, and computational biology. For more career information see the Quantitative Health Sciences Career site.
The metropolitan and suburban areas of Cleveland comprise a population of over 3 million, rich in cultural resources and diversity. The city itself is centrally located to several other large cities and enjoys a low cost of living index. Cleveland Clinic is among the world’s largest, busiest health centers, and ranked the second-best U.S. hospital by U.S. News & World Report.
Cleveland Clinic is pleased to be an equal employment/affirmative action employer: Women/Minorities/Veterans/Individuals with Disabilities are encouraged to apply.
We are a smoke/drug free environment.
• PhD in Biostatistics, Bioinformatics, Epidemiology, or a related discipline.
• Experience with design and analysis methods for clinical trials and observational studies.
• Experience as a collaborative biostatistician in a clinical setting.
• Ability and desire to lead a team of MS-level biostatisticians.
Interested candidates should email a curriculum vitae, research statement, names of at least three references and a cover letter summarizing experience, research interests, and fit for the position to QHSjobsearchcbh@ccf.org
Review of applications will begin immediately and continue until the position is filled.