The laboratory of Dr. Simon Knott is searching for two postdoctoral computational scientists who are interested in applying computer science and probability theory to study cancer progression. We are part of the Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Center, in Los Angeles California. The Knott Lab develops molecular and computational tools to analyze high-throughput single cell and CRISPR screening data, with the goal of elucidating the mechanisms cancer cells employ to metastasize and evade therapy.
The single cell work incorporates both traditional single cell RNA sequencing technologies as well as next generation methods that maintain spatial context, such as CODEX and MERFISH. The CRISPR work includes the optimization of targeting molecule selection through machine learning, as well as the downstream analysis of high-throughput CRISPR screens. The chosen candidates will work alongside bench scientists and oncologists to generate clinically actionable hypotheses from novel datasets generated within the laboratory. Additionally, the selected applicants will contribute to the design and analysis of follow-up validation studies. These positions offer unique opportunities for computational scientists to fully immerse themselves in the discovery process.
The successful candidates will have a PhD in Computer Sciences, Statistics, Computational Biology or a related field and should be comfortable in an HPC or Cloud environment. They should be fully proficient in at least one general programming language (e.g. Python) and either Matlab or R. The ideal candidate will have a background in machine learning and genomics with a general understanding of cancer biology.
For more information on the Knott Lab please visit us at https://www.knottlab.org
Qualified candidates can submit their CV’s to Simon.Knott@cshs.org