University of Maryland, Baltimore
Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology
University of Maryland, Baltimore, Baltimore, Maryland, United States, 21276
Job Description
The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences (IGS) is recruiting a postdoctoral fellow, to join the laboratory of Jacques Ravel studying the vaginal microbiome's role in women's health. Our lab integrates multi-omics microbiome analyses, experimental models, observational cohorts, and clinical trials to uncover the mechanisms by which the vaginal microbiome influences host susceptibility to sexually transmitted infections and likelihood to experience preterm birth, among other adverse health outcomes. We welcome applicants with backgrounds in
bioinformatics ,
molecular microbiology , and/or
microbial ecology/evolution
to apply. Qualifications Key areas: Metagenomic and metatranscriptomic sequencing analysis Single-cell RNA-seq and proteomic/metabolomic data integration Integration of clinical and multi-omic microbiome data. Biologically informed data interpretation Experience with Python, R and command line Ideal candidate:
A computational biologist or bioinformatician with strong programming skills and a firm background in microbiology. Candidate should have experience leading projects, writing manuscripts, and contributing to grants. What We Offer Access to clinical samples from well-characterized cohorts and clinical trials Collaborative environment across CAMRI and IGS Mentorship in academic career development Cutting-edge tools in multi-omics and host-microbe systems biology To apply, please send a
CV ,
cover letter , and contact information for
three references
to jravel@som.umaryland.edu. The University of Maryland, Baltimore is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information.
#J-18808-Ljbffr
bioinformatics ,
molecular microbiology , and/or
microbial ecology/evolution
to apply. Qualifications Key areas: Metagenomic and metatranscriptomic sequencing analysis Single-cell RNA-seq and proteomic/metabolomic data integration Integration of clinical and multi-omic microbiome data. Biologically informed data interpretation Experience with Python, R and command line Ideal candidate:
A computational biologist or bioinformatician with strong programming skills and a firm background in microbiology. Candidate should have experience leading projects, writing manuscripts, and contributing to grants. What We Offer Access to clinical samples from well-characterized cohorts and clinical trials Collaborative environment across CAMRI and IGS Mentorship in academic career development Cutting-edge tools in multi-omics and host-microbe systems biology To apply, please send a
CV ,
cover letter , and contact information for
three references
to jravel@som.umaryland.edu. The University of Maryland, Baltimore is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information.
#J-18808-Ljbffr