The Computational Biology Department within the School of Computer Science (SCS) at Carnegie Mellon University, is seeking to hire a full-time Assistant Teaching Professor starting in the 2020-2021 academic year. Primary initial responsibilities will consist of teaching course 02-261 (Quantitative Cell and Molecular Biology laboratory) in the Fall and Spring semesters and co-teaching course 02-760 (Laboratory Methods for Computational Biologists) in both semesters. Required qualifications include a Ph.D. in a Life Science or Computational field, and at least 5 years of experience with designing and carrying out laboratory experiments in cell and molecular biology. Desired qualifications include experience with statistical and/or computational analysis of experimental data and at least two years of teaching experience.
We particularly encourage applications from candidates who have a demonstrated track record in mentoring and nurturing female and under-represented minority students.
The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Typically initial appointments are at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. Teaching track positions are not tenured, but do provide substantial opportunities for professional growth and long-term contributions to education at Carnegie Mellon University.
Applications will be accepted through March 1, 2020.
Internal Number: 72351
About Carnegie Mellon University - Computational Biology Department
The Computational Biology Department is a department within the School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania.
Computational biology is the science that answers the question “How can we learn and use models of biological systems constructed from experimental measurements?” These models may describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene (or genes) when expressed produce a particular phenotype or behavior, what sequence of changes in gene or protein expression or localization lead to a particular disease, and how changes in cell organization influence cell behavior. Computational biology is a very broad discipline, in that it seeks to build models for diverse types of experimental data (e.g., concentrations, sequences, images, etc.) and biological systems (e.g., molecules, cells, tissues, organs, etc.), and that it uses methods from a wide range of mathematical and computational fields (e.g., complexity theory, algorithmics, machine learning, robotics, etc.).