Postdoc: machine learning for drug discovery

Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and applies methods to extract quantitative information from high-throughput biological images, integrated with transcriptomics and proteomics integrated with transcriptomics and proteomics.

Our lab pioneered Cell Painting, a leading image-based profiling assay used worldwide to quantify biological processes. Our open-source CellProfiler software, cited in over 23,000 papers, has enabled discoveries leading to several clinical trials, including two successful in cancer so far. We also launched a major Cell Painting consortium with ten pharmaceutical companies to produce the largest public Cell Painting dataset . Through OASIS , we created the largest public dataset combining Cell Painting, transcriptomics, and proteomics for toxicity assessment. In VISTA, we aim to systematically and scalably uncover disease phenotypes and drugs that can reverse them for disease caused by coding variants. Learn more and apply here: https://broad.io/mlcbpostdoc

Carry out world-class research.

Ph.D. required in a computational field (Data Science, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related) with data science experience in biomedical domains. Expertise analyzing large-scale and/or high-dimensional biological data is highly desired. Outstanding integrity, initiative, organizational & collaborative ability, and communication skills.