Research Prime

Computational Biologist - Microbial Genomics

Organisation Name: UES, Inc.
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Job Description:

UES, Inc. has an opportunity available for a Computational Biologist with experience in microbial genomics to join our team supporting the Air Force Research Laboratory near Dayton, OH. The successful candidate will have the opportunity to work across multiple collaborative projects in the areas of microbial biofouling and corrosion, polymicrobial interactions of DoD relevant microbial communities, and mechanisms of polymer biodegradation. The selected candidate will use informatics to assemble, annotate, and perform comparative analyses of both bacteria and fungi to aid in generation of testable hypotheses. This role requires effective teamwork and communication of results with colleagues from diverse backgrounds. Functions for this role will also include: Transcriptomics of bacteria and fungi communities including differential expression analyses and identifying upregulated proteins Analysis and interpretation of microbial community data using network analyses and visualization tools Informatics on enriched and complex microbial communities generated from metagenomics and metatranscriptomics including assembly, binning, annotation, enzyme mining, and phylogenetic analyses Documentation and presentation of research progress in the forms of reports, publications, and oral presentations Travel to scientific reviews and conferences Requirements: Ph.D. (or M.Sc. with 5+ years of relevant experience) in Computational Biology, Bioinformatics, or Microbial Genomics Demonstrated success in applying open source software and in developing novel algorithms for the comparative analysis of genomes Deep understanding of phylogenetic analyses and comparative genomics methods Fluent in major scripting languages such as Python or Perl, and proficient in using the command line in Unix environments Previous experience in comparative genomics or an understanding of secondary metabolite biosynthesis is highly desirable Experience in applying machine learning algorithms or statistical methods to solving biological problems is desirable Demonstrated understanding of relevant public genomic databases Ability to work effectively in a multidisciplinary team, and communicate results clearly to non-computational scientists Excellent organizational skills This position is working on-site at a government facility and requires U.S. citizenship Additional Information UES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees. We look forward to reviewing your application. UES, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.

Posting Date: Jul 26, 2021
Closing Date:
Organisation Website/Careers Page: https://ues.hrmdirect.com/employment/job-opening.php?req=1328012&&&nohd#job


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