Join Us
We welcome talented scientists from a range of backgrounds and expertise. Our lab has included colleagues with backgrounds in microbiology, molecular biology, infectious diseases, genomics, computer science, mathematics, physics, electrical engineering, biomedical engineering, and medicine. We seek scientists with a demonstrated track record of productivity, creativity, initiative and the ability to work both a highly collaborative environment. Current openings are listed below. We also welcome general inquiries from undergraduates, graduates students, and postdocs. Please email inquiries with a cover letter, CV, and any supporting material (papers, software descriptions, etc) to:
James Galagan, PhD
jgalag@bu.edu
Please reference a current opening below, if appropriate.
Current Openings
Lab Technician
We are seeking a Laboratory Technician to lead the application of high-throughput genomics for genome sequencing, regulatory network mapping, and functional screening. See job description.
Postdoctoral Associate - Biosensor Development
We are engineering optical and electronic sensors derived from microbial proteins. We are seeking a Postdoctoral Associate to work within our Biosensor Engineering efforts. See job description.
Postdoctoral Associate - High-Throughput Screening
We have developed a platform to identify and isolate microbial sensing proteins for virtually any target analyte, that we then develop into electronic sensors. We are seeking a Postdoctoral Associate to work within our High-throughput Functional and Metagenomic screening efforts. See job description.
Undergraduate Researcher - Screening
We have multiple openings for undergraduate research associates to work with our high-throughput screening team. Students will gain experience in molecular biology, flow-cytometry, and next-generation sequencing.
Undergraduate Researcher - Genomics
We have multiple openings for undergraduate research associates to work with our genomics team. Students will gain experience in all aspects of next-generation genomics - from experimental methods to data analysis.