Staff Scientist
CurrentDesign computational analysis methods for microbiome analysis, especially in relation to cancer and inflammation.
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@cancer.gov
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4 phones found area 858, 301, and 800
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Jonathan Badger is listed as Staff Scientist at National Cancer Institute (NCI), a with 4070 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at cancer.gov, phone signal with area code 858, 301, 800, and a matched LinkedIn profile for Jonathan Badger.
Jonathan Badger previously worked as Academic Editor (PLoS One) at Public Library Of Science and Assistant Professor at J. Craig Venter Institute. Jonathan Badger holds Ph.D, Microbiology from University Of Illinois Urbana-Champaign.
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To use (meta)genomics, transcriptomics, and molecular evolution to understand microbial communities, particularly from the standpoint of how they affect human health.Specialties: phylogenetic inference, bioinformatics, programming (C, Perl, R, Ruby), genomic annotation, microbiome analysis
Listed skills include Bioinformatics, Genomics, Metagenomics, Microbiology, and 8 others.
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Bethesda, Maryland
Design computational analysis methods for microbiome analysis, especially in relation to cancer and inflammation.
Evaluate submitted manuscripts by finding appropriate peer reviewers and making editorial decisions based on these (unpaid).
La Jolla, Ca
Genomics and metagenomics of prokaryotes and unicellular eukaryotes as well as developing tools to help in the analysis of these projects
Rockville, Md
Analysis of microbial genomes. leading genome projects, developing tools to help analyze genomes, performing phylogenetic analyses
Montreal, Qc
Developed tools for analysis of tandem mass spectra of proteins
Waterloo, On
Worked on methods of whole-genome phylogeny and analysis of codon usage
Madison, Wi
Developed and maintained databases and query systems for library staff and patrons
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Jacob Minin
Colleague at National Cancer Institute (Nci)Bethesda, Maryland, United States
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Sonia Rosenfield
Colleague at National Cancer Institute (Nci)Silver Spring, Maryland, United States
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Dr. Nashaat Deiab
Colleague at National Cancer Institute (Nci)Egypt
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Nicholas Delay
Colleague at National Cancer Institute (Nci)Rockville, Maryland, United States
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Chyi-Chia Richard Lee
Colleague at National Cancer Institute (Nci)Bethesda, Maryland, United States
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Robert Worrell
Colleague at National Cancer Institute (Nci)Washington Dc-Baltimore Area, United States
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Mounica Ganta
Colleague at National Cancer Institute (Nci)Ashburn, Virginia, United States
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Gerry Mc Cann
Colleague at National Cancer Institute (Nci)Rockville, Maryland, United States
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Silvia Reyes
Colleague at National Cancer Institute (Nci)Frederick, Maryland, United States
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Anna Baj
Colleague at National Cancer Institute (Nci)Rockville, Maryland, United States
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Advisor: Gary J. Olsen Dissertation: "Exploring Microbial Genomic Sequences via Comparative Analysis"
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Jonathan Badger works for National Cancer Institute (NCI).
Jonathan Badger is listed as Staff Scientist at National Cancer Institute (NCI).
AeroLeads has found 1 work email signal at @cancer.gov for Jonathan Badger at National Cancer Institute (NCI).
AeroLeads has found 4 phone signal(s) with area code 858, 301, 800 for Jonathan Badger at National Cancer Institute (NCI).
Jonathan Badger is based in Washington Dc-Baltimore Area, United States while working with National Cancer Institute (NCI).
Jonathan Badger has worked for National Cancer Institute (Nci), Public Library Of Science, J. Craig Venter Institute, Caprion Pharmaceuticals, and University Of Waterloo.
Jonathan Badger's colleagues at National Cancer Institute (NCI) include Jacob Minin, Sonia Rosenfield, Dr. Nashaat Deiab, Nicholas Delay, and Chyi-Chia Richard Lee.
You can use AeroLeads to view verified contact signals for Jonathan Badger at National Cancer Institute (NCI), including work email, phone, and LinkedIn data when available.
Jonathan Badger holds Ph.D, Microbiology from University Of Illinois Urbana-Champaign.
Jonathan Badger is listed with skills including Bioinformatics, Genomics, Metagenomics, Microbiology, Phylogenetics, Perl, Molecular Biology, and Computational Biology.
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