Adjunct Faculty: Mathematical Modeling for Bioinformatics

Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Bioinformatics program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies Graduate Professional Studies can be found online.

About the Position and Course

RBIF 112: Mathematical Modeling for Bioinformatics

The development of new bioinformatics tools typically involves some form of data modeling, prediction or optimization. This course introduces various modeling, prediction, and machine learning techniques including linear and nonlinear regression, principal component analysis, support vector machines, self-organizing maps, neural networks, set enrichment, Bayesian networks, and model-based analysis.

About the Master of Science in Bioinformatics

Biotechnology and pharmaceutical organizations are increasingly viewing bioinformatics as an integral part of their research processes. As biomedical industries seek to make use of vast amounts of genomic data and produce more complex and accurate biological models, they are relying more and more on bioinformatics' mathematical, statistical, and computational methods.

All GPS Masters courses are 10-weeks long and taught asynchronously in the online learning environment with no set days or times for interaction.

About GPS Faculty

GPS Faculty instructors are active practitioners in the industries that align with our programs and have the professional expertise to bring to course discussions and threads. Instructors are part time and work fully online, with no requirement to appear on campus. Our faculty have earned at least a master's degree with many holding terminal academic degrees and industry-specific credentials. Previous experience teaching online is not required; GPS offers a comprehensive training program for qualified applicants.