Cambridge, Massachusetts, United States
We analyze cancer genomics data from patients at Massachusetts General Hospital. We use computational methods as a powerful microscope through which to observe carcinogenesis, response to treatment, development of resistance, and metastasis. Together with our clinical collaborators, we are: -- Studying the highly complex patterns of mutational heterogeneity present throughout all levels of large cancer sequencing datasets. -- Developing the MutSig software suite for statistical identification of significantly mutated genes against a highly complex mutational background. -- Extracting novel insights from mutational strand asymmetries in cancer genomes, revealing which DNA damage and repair processes are associated with transcription and which are associated with replication.
NOW HIRING! Looking for a talented Associate Computational Biologist (B.A./B.S.) Also looking for highly motivated post-docs. Human genomes, somatic DNA alterations, statistical analysis of mutations and mutational processes, DNA damage and repair, genomics-informed personalized medicine for cancer prevention, diagnosis, prognosis, and treatment.