USDA-ARS Bioinformatic Analyses and Training Fellowship
*Applications are reviewed on a rolling-basis and this posting could close before the deadline.
ARS Office/Lab and Location: Multiple master's level research opportunities are currently available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS) Genome Informatics Facility, Iowa State University in Ames, Iowa and other ARS units located in the US.
This research opportunity is part of the SCINet Fellowship program at ARS. All fellows will spend time at headquarters for some of their training, but will be based in Ames, Iowa or another ARS research unit for more specific training. The SCINet/Big Data Program at ARS offers research opportunities to motivated participants interested in solving agricultural- and natural resource-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily to evolutionary time scales, as well as metadata enhancement for data discovery. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help solve complex agricultural problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, linkage, and analysis of large, diverse datasets that benefit from high performance computers (HPC). The objective of these opportunities is to facilitate cross-disciplinary, cross-location research through collaborative research on problems of interest to each participant and amenable to or required by the HPC environment. Training will be provided in specific AI, machine learning, deep learning, and statistical software needed for the HPC.
Research Project: High throughput sequencing technology has become increasingly affordable. An increasing number of USDA ARS research units are developing genomic resources (genomes, transcriptomes, SNPs, etc) for organisms of significant economic importance in agriculture, and for the pests that hinder the full potential of crops, livestock, and aquaculture. This kind of genomic resource development is important for the continued yield performance and for development of pest management strategies. While the acquisition of sufficient sequencing data is now possible, the analysis of these data is not always straight forward as there are assumptions and limitations to the biology, sequencing technology, and software used in each project.
Learning Objectives: The selected participant will have the opportunity to learn a diverse array of bioinformatic analyses, to develop speaking, writing, and networking skills through workshop development, and to actively engage in the solving of biological questions that will lead to publications.
Mentor(s): The mentor for this opportunity is Brian Scheffler (firstname.lastname@example.org). If you have questions about the nature of the research please contact the mentor(s).
Anticipated Appointment Start Date: After May 1, 2021. 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(s) will receive a monthly stipend commensurate with educational level and experience.
Citizenship Requirements: This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program participation.
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.