We build predictive models to predict cancer vulnerabilities from genomic profiles of tumors and cancer cell lines.
We integrate functional screening and 'omics data to identify novel cancer targets as well as drugs for repurposing.
We develop computational methods and tools to facilitate the analysis of CRISPR screening in cancer models.
We analyze highly-multiplexed small-molecule screening data from the PRISM platform to discover novel cancer therapeutic leads.
Founder and Scientific Advisor
Sr Principal Software Engineer
Senior Computational Associate
Postdoctoral Scholar
Group Leader
Senior Software Engineer
Data Scientist II
Associate Computational Biologist II
Associate Computational Biologist II
Sr. Visual Designer
Computational Scientist II
Postdoctoral fellow
Software Engineer
Associate Computational Biologist I
Broad Cancer Scholar - Associate Computational Biologist
Associate Computational Biologist I
Associate Computational Biologist I
Software Engineer
Computational Scientist II
Associate Computational Biologist I
Associate Computational Biologist I
Associate Computational Biologist I
Associate Computational Biologist I
Associate Software Engineer
Associate Professor, MD Anderson
Graduate Student, Genetics, Stanford University
Studying for AI Research
Computational Biologist, 10X Genomics
Graduate Student, Statistics, Duke University
Undergraduate Student, Stanford University
Graduate Student, Biomedical Informatics, Stanford University
Bioinformation Lead, Cancer Cell Line Factory
Medical Student, USC
Medical Student, Brown
Graduate Student, Computer Science, Princeton University
Graduate Student, Epidemiology, Harvard University
MD-PhD student, Neuroscience, University of Pennsylvania
Graduate Student, Biomedical Sciences, UCSD
Graduate Student, Computer Science, University of Maryland
We are seeking an exceptional software developer to join the Cancer Data Science group to build tools and portals. In the Cancer Data Science group, we leverage data science approaches to understand cancer biology and support translational efforts.
Email: jmmcfarl at broadinstitute.org