UES, Inc. has an opportunity available for a Computational Biologist with experience in bioinformatics and machine learning to join our team supporting the Air Force Research Laboratory at Wright Patterson Air Force Base in Dayton, OH. The Computational Biologist will have the opportunity to work on novel microbial degradation of perfluoroalkyl (PFAS) compounds using genomics, enzyme mining, and AI/ML. The successful candidate will use bioinformatics and AI/ML to identify biological PFAS degradation pathways and enzymes to aid in the generation of testable hypotheses for wet-lab experiments. This role requires effective teamwork and communication of results with colleagues from diverse backgrounds. Functions for this role will also include: Bioinformatics on enriched and complex microbial communities generated from metagenomics including assembly, binning, annotation, enzyme mining, and phylogenetic analyses Applying AI/ML for identifying optimized biological modes of PFAS degradation Documentation and presentation of research progress in the forms of reports, publications, and oral presentations Periodic 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 Fluent in major scripting languages such as Python or Perl, and proficient in using the command line in Unix environments Experience in applying machine learning algorithms or statistical methods to solving biological problems Deep understanding of phylogenetic analyses and comparative genomics methods Demonstrated understanding of relevant public metagenomic 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.
