This position is located in the Agricultural Research Service (ARS), Beltsville Agricultural Research Center (BARC), in Beltsville, MD.Learn more about this agency
The incumbent will develop computational methods and analysis approaches, including modeling, that identify and characterize the growth promoting mechanisms of antibiotics in swine by evaluating the impact of antibiotics, their alternatives and metabolic stressors on gut physiology, and the gut microbiome, proteome and metabolome.
- Establish understanding of the underlying biology by which antibiotic growth promoters (AGPs) promote intestinal health and growth in swine, to identify and validate suitable alternatives to antibiotics (ATAs) that mimic the actions of AGPs.
- Develop experimental and computational methods for the role of the gastrointestinal tract and microbiome, proteome and metabolome in response to AGPs to decipher mechanisms regulating gut physiology as it relates to piglet growth.
- Develop experimental and computational methods for physiological, proteomic and metabolomic effects to distinguish successful ATA candidates.
- Develop experimental and computational methods for: genomic, microbiome, proteome and metabolome interactions that elucidate the role of the host?s genetic make-up in response to AGPs and ATAs.
- Take a systems biology approach coupled with computational innovations and ?omic? technologies to analyze the complexity of the symbiotic interactions between gut cells and microbes.
- Use functional genomics, transcriptomics, proteomics, epigenomics or metagenomics to establish putative genes and/or pathways impacted by AGPs and ATAs in both the host and microbes for data analytical modeling.
- Use computational methods (bioinformatics, translational genomics, artificial intelligence, machine learning tools) to manage/ interpret multitude of large, complex datasets, and modeling to establish biological pathways and interaction paradigms.
Occasional travel - You may be expected to travel for this position.
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This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/575879000. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.