<p>Mission Statement</p> <p>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.</p> <p>Job Summary</p> <p>The Gilbert S. Omenn Department of Computational and Bioinformatics is seeking a Research Fellow in the laboratory of Dr. Naoki Masuda. This postdoctoral position provides computational research capacity within DCMB to execute a research program at the interface of genomics, network science, and behavioral data modeling relevant to gene expression and disease early warning. The postdoc will perform directed research to achieve the objectives of the project, specifically: (i) deploy network analysis methods to genomic co-expression data (70%), and (ii) develop early warning signals for disease conditions including psychiatric disorders using differential equations (30%).</p> <p>Responsibilities*</p> <ul> <li>Accelerated progress on funded research aims through sustained, specialized effort that cannot be met by short-term or fractional support. </li><li>Development of reproducible analytical pipelines and computational methods that can be shared with, adapted by, and disseminated across other Michigan Medicine research teams. </li><li>Scholarly manuscripts, conference presentations, and open-source code/methods. </li></ul> <p>Required Qualifications*</p> <p>Ph.D. in a quantitative or computational field such as Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Mathematics, Biostatistics or a closely related field.</p> <p>Modes of Work</p> <p>Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes</p>