Postdoctoral Fellow - Machine Learning and Computational Biology

Postdoctoral research positions in machine learning and computational biology. Mentor: Dr. William Noble, Department of Genome Sciences, University of Washington, Seattle WA 98109. The Noble lab has several openings for postdoctoral fellows to work on machine learning projects related to genomics and proteomics. An ideal candidate will be motivated by the desire to develop and apply novel machine learning techniques. Familiarity with genomic or proteomic data is not required, but candidates must be prepared to become intimately familiar with these complex data types and the generative processes that underlie them. Machine learning models for integrating multi-omic data: The NIH Multi-Omics for Health and Disease Consortium will collect patient samples from six different locations. All will be processed using multiple technologies, including genomics, epigenomics, proteomics, and metabolomics. As one of the labs involved in the Data Analysis and Coordination Center, we will be responsible for developing machine learning methods that help make sense of this large, heterogeneous data set. Deep learning models for mass spec proteomics: We are developing a series of deep learning models that assist in the interpretation of massive collections of mass spectrometry proteomics data, such as GLEAMS, Casanovo and Cascadia. Moving forward, we plan to further improve these models and to develop new models to tackle additional challenges in this field. Requirements: Candidates must have a PhD or equivalent. Candidates must have strong computational skills. Expertise in machine learning is desirable. Expertise in relevant areas of cell biology, molecular biology, bioinformatics, and stem cell biology is not required, though helpful. Applicants are also expected to be intellectually curious, independent, proactive, team-oriented, and with a strong work ethic. Strong verbal and written skills in English are critical. Applications will be accepted until the position is filled. Please send a CV and cover letter to Dr. William Noble, william-noble@u.washington.edu.