The Computational Biology Department within the School of Computer Science (SCS) at Carnegie Mellon University, is seeking to hire new tenure-track faculty who share our vision for how computational biology can drive biomedical research. The department is a world leader in the development and implementation of rigorous computational approaches to biomedical research problems.
Appointments will be made either entirely in the Computational Biology Department or jointly with other departments in the University depending on the research focus and needs of the successful candidates. The Computational Biology Department has extensive strengths in methods underlying genome-based personalized medicine (genome association for complex phenotypes, dynamic network models, efficient sequence analysis), modeling genome and epigenome structure and function, single-cell biology, image analysis and image-derived modeling, modeling and simulation of biological systems at various levels, automated and machine learning-driven laboratory science, and general application of algorithms and machine learning to biomedical problems. The faculty in the department are playing leadership roles in several large-scale NIH initiatives, including 4D Nucleome, HuBMAP, and SenNet. Applicants within these areas or from entirely new areas are welcomed. New faculty members will be expected to both contribute to and benefit from the collaborative spirit that is a hallmark of Carnegie Mellon University and from opportunities to collaborate with other institutions in the Pittsburgh region. We welcome candidates who will join or help establish cross-department research communities, including through a multi-department cluster search this year in cellular biophysics and quantitative biology. Faculty in any of the SCS departments have advising privileges for students in any of the SCS Ph.D. programs..
We particularly encourage applications from candidates who have a demonstrated track record in mentoring and nurturing female and under-represented minority students.
Applications will be considered in two rounds, with a first review beginning October 2, 2022 and a second review beginning Dec 8, 2022. For full consideration, applications must be received by Dec 8, 2022.
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