The Computational Biology Department (www.cbd.cmu.edu) 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. We are seeking applications from candidates in all research areas of computational biology and whose work is either wholly computational or combines computational/statistical approaches with laboratory experimentation.
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), image analysis and image-derived modeling, modeling and simulation of biological systems at various levels, and application of active machine learning to biological problems. 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. Faculty in any of the SCS departments have advising privileges for students in any of the SCS Ph.D. programs.
Candidates should have received or be about to receive a Ph.D. in computational biology, bioinformatics, biological sciences, computer science, machine learning, statistics or a related area. Postdoctoral experience is not required. We seek applications from candidates in all research areas of computational biology and whose work is either wholly computational or combines computational/statistical approaches with laboratory experimentation.
We particularly encourage applications from those who have a demonstrated track record in mentoring and nurturing female and under-represented minority students.
Applications should be submitted through the SCS faculty application system at apply.interfolio.com/52997, and should be submitted by December 3, 2018 in order to receive full consideration.