Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology

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profile Job Location:

Baltimore, MD - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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 aCVcover letter and contact information forthree referencesto .

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 and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

TheCenter for Advanced Microbiome Research and Innovation (CAMRI)within theInstitute of Genome Sciences (IGS)is recruiting a postdoctoral fellow to join the laboratory of Jacques Ravel studying the vaginal microbiomes role in womens 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 inbioinformatics molecular microbiology and/ormicrobial ecology/evolutionto apply.

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 lineIdeal candidate:A computational ...
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