At the Channing Division of Network Medicine (CDNM), we use an integrated, network-based, and systems biology-drive approach to understand, reclassify, and treat complex diseases. With access to 3.2 million specimens from 300,000 subjects, alongside renowned cohort study questionnaires and advanced computational analytics, CDNM is recognized for the uniqueness of its interdisciplinary scientific direction and cross-domain expertise. We welcome collaborative opportunities and encourage other researchers to explore potential opportunities.
CDNM currently has more than 80 Harvard Medical School (HMS) faculty and 42 postdoctoral research fellows and is supported by 160 non-faculty Brigham and Women’s Hospital (BWH) employees, who are primarily in research and administration.
- Sr. Research Systems Analyst DOM Channing
The Channing Division of Network Medicine at Brigham and Women’s Hospital, Boston are looking for exceptional candidates to join the Bioinformatics Core. The core work involves a wide variety of data management challenges of complex data sets, including genomic scale next-generation sequencing data, methylation, metabolomics, and proteomics. Projects involve interrogation of the genome, transcriptome, and epigenome as well as the proteome and metabolome utilizing machine learning analysis too...
- Phlebotomist I DOM Channing
GENERAL SUMMARY/ OVERVIEW STATEMENT: Summarize the nature and level of work performed. This position's hours are per diem. The hours will fall within Monday- Friday 7a-Noon. The LIHDI Study is looking for a per diem Mobile Phlebotomist to travel to specified locations. The Mobile Phlebotomist will travel to study participant’s homes to collect blood, obtain vital signs, and anthropometric measurements. The majority of the sites are within the greater Boston area, but there may be some N...
- Bioinformatician I Channing Lab
The Channing Division of Network Medicine at Brigham and Women’s Hospital, Boston are looking for exceptional candidates to join the Bioinformatics Core. The core works involves a wide variety of data management challenges of complex data sets, including genomic scale next-generation sequencing data and Data processing or curation. Our projects involve interrogation of the genome, transcriptome and epigenome data utilizing machine learning analysis tools and data analysis pipelines. The Bi...
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