Principal Scientist, Bioinformatics, Precision Oncology
Cambridge, Massachusetts, United States
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Summary
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Chris Hoefler is a Principal Scientist in Bioinformatics focused on precision oncology, with nine years of computational biology experience and a deep academic foundation in enzymology and chemical biology (PhD). He designs and implements multi-omic and single-cell analysis pipelines—spanning RNAseq, scRNAseq, metabolomics, SNV annotation, and multi-modal integration—to support discovery, translational cohorts, and biomarker-driven projects. Chris has led multidisciplinary teams across industry and academia, applying statistical learning, knowledge graphs, trajectory analysis, and machine learning to complex biological assays and biosensor/tissue-engineering platforms. His background in natural product metabolism and microbial competition gives him a unique mechanistic perspective when interpreting metabolic and pathway-level signals in human and preclinical data. Based in Cambridge, MA, he combines hands-on method development with project leadership at the interface of computational biology and experimental systems. Colleagues rely on him to bridge wet-lab nuance and scalable computational workflows for actionable insights in oncology and beyond.
9 years of coding experience
6 years of employment as a software developer
BA, Biochemistry and Molecular Biology, BA, Biochemistry and Molecular Biology at Reed College
Doctor of Philosophy (PhD), Biochemistry, Doctor of Philosophy (PhD), Biochemistry at Brandeis University
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Chris Hoefler - Principal Scientist, Bioinformatics, Precision Oncology