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USDA-ARS SCINet Postdoctoral Fellowship in A.I. and Metatranscriptomics of the Gut Microbiome: California
Job Description
- Agency
- U.S. Department of Agriculture (USDA)
- Location
- Davis, California
- Job Category
- Post Doctoral Appointments
- Salary
- $7,600 to $7,900 per month
- Last Date to Apply
- 09/15/2023
- Website
- https://www.zintellect.com/Opportunity/Details/USDA-ARS-SCINet-2023-0330
- Description
- *Applications are reviewed on a rolling basis. ARS Office/Lab and Location: A postdoctoral fellowship opportunity is currently available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS) within the Western Human Nutrition Research Center located in Davis, California. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities to support the nourishment and well-being of all people; sustain our nation’s agroecosystems and natural resources; and ensure the economic competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The US Department of Agriculture - Agricultural Research Service (USDA ARS) mission involves problem-solving research in the widely diverse food and agricultural areas encompassing plant production and protection; animal production and protection; natural resources and sustainable agricultural systems; and nutrition; food safety; and quality. A major goal of the ARS Human Nutrition Program is to provide dietary guidance to Americans to improve health. The over-arching research program of the mentor’s laboratory is to understand the impact of diet and microbiome relationships on gastrointestinal health. With advances in artificial intelligence, protein structure can now be predicted from amino acid sequence, ultimately allowing for new functional annotations based on structural homology. The research fellow will use these new techniques to improve annotations of microbial enzyme genes and apply these new annotations to models of diet-microbiome relationships. Learning Objectives: The research fellow will have the opportunity to learn a range of computational skills needed to conduct these analyses. Under the guidance of a mentor, the fellow will co-lead a microbiome working group and interact with other scientists. The successful fellow will also have the opportunity to collaborate with USDA ARS scientists on data analysis projects and to write collaborative scientific papers on diet and microbiome function. Mentor(s): The mentor(s) for this opportunity is Danielle Lemay (danielle.lemay@usda.gov). Please contact the mentor if you have questions about this opportunity. Anticipated Appointment Start Date: October 2, 2023; start date is flexible and will depend on a variety of factors. Appointment Length: The appointment will initially be for one year but may be renewed upon recommendation of ARS and is contingent on the availability of funds. Level of Participation: The appointment is full-time. Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and there are no employment-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. Questions: Please visit our Program Website. After reading, if you have additional questions about the application process, please email ORISE.ARS.SCINet@orau.org and include the reference code for this opportunity.
- Qualifications
- The qualified candidate should have received a doctoral degree in one of the relevant fields or be currently pursuing the degree with completion before September 30, 2023. Degree must have been received within the past five years. Preferred skills: Knowledge of the microbial genes involved in primary degradation and fermentation of food substrates. Proficiency in R or Python Strong computational skills Experience working with large, diverse datasets and data mining approaches Strong oral and written communication skills Experience with Git/Github is a plus Experience implementing software on Unix and HPC using SLURM submission scheduling is a plus Experience working with dietary data and/or fecal microbiome data is a plus
- Contact Person
- ORISE.ARS.SCINet@orau.org
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