Oak Ridge Institute for Science and Education
USDA-ARS Post-Graduate Fellowship in Data Science/Computational Biology/Bioinfor
Oak Ridge Institute for Science and Education, Hilo, Hawaii, us, 96721
USDA-ARS Post‑Graduate Fellowship in Data Science/Computational Biology/Bioinformatics
Join to apply for the USDA‑ARS Post‑Graduate Fellowship in Data Science/Computational Biology/Bioinformatics role at Oak Ridge Institute for Science and Education.
How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY.
Application Materials
An application
Transcript(s) – For this opportunity, an unofficial transcript or copy of the applicant’s academic records printed by the applicant or by academic advisers from internal institution systems may be submitted. Refer to the transcript policy for details.
A current resume/CV, including academic history, employment history, relevant experiences, and publication list
Two educational or professional recommendations
Organization U.S. Department of Agriculture (USDA)
Reference Code USDA‑ARS‑PWA‑2025‑0184
Application Deadline 2/13/2026 3:00:00 PM Eastern Time Zone
Description Applications are reviewed on a rolling basis.
ARS Office / Lab and Location USDA‑ARS Tropical Pest Genetics and Molecular Biology Research Unit in Hilo, Hawaii.
Research Project The research project will focus on developing reproducible pipelines and workflows for genomic analysis in functional and population genomics. The lab hosts a complete production‑scale genomics laboratory, including all current sequencing technologies and tools, and provides resources for developing rich datasets for complex questions. Computational resources are available for large‑scale analyses, offering a unique opportunity for a fellow to obtain specialized training and experience aligned with professional development.
Learning Objectives This research fellow will gain experience in bioinformatics and computational biology, focusing on arthropod genomics and genetics. The fellow will learn the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on machine learning and AI models as appropriate. Skills to be gained include developing and maintaining containers (apptainer/singularity), workflows (nextflow, snakemake), and repositories (github) that can be implemented on high‑performance computing resources.
Mentor Scott Geib (scott.geib@usda.gov). If you have questions about the nature of the research, please contact the mentor.
Anticipated Appointment Start Date January 2025. The 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 Part‑time.
Participant Stipend The participant will receive a monthly stipend commensurate with educational level and experience, anticipated range $1,000 – $1,500.
Citizenship Requirements 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.PacificWest@orau.org and include the reference code for this opportunity.
Qualifications The qualified candidate should be currently pursuing or have received a master's degree in one of the relevant fields (biotechnology, biology, entomology, agricultural science, data science, computer science or related degrees).
Preferred Skills
Experience with command line, scripting, and basic bioinformatics.
Basic skills in bioinformatics and computational biology, such as familiarity with shell scripting, Python, R, and use of high performance computing resources.
Eligibility Requirements
Citizenship: U.S. citizen only.
Degree: Master’s degree.
Discipline(s): Various disciplines in data science, computer science, and related fields (e.g., artificial intelligence, computer vision, machine learning, bioinformatics, genomics, etc.).
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How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY.
Application Materials
An application
Transcript(s) – For this opportunity, an unofficial transcript or copy of the applicant’s academic records printed by the applicant or by academic advisers from internal institution systems may be submitted. Refer to the transcript policy for details.
A current resume/CV, including academic history, employment history, relevant experiences, and publication list
Two educational or professional recommendations
Organization U.S. Department of Agriculture (USDA)
Reference Code USDA‑ARS‑PWA‑2025‑0184
Application Deadline 2/13/2026 3:00:00 PM Eastern Time Zone
Description Applications are reviewed on a rolling basis.
ARS Office / Lab and Location USDA‑ARS Tropical Pest Genetics and Molecular Biology Research Unit in Hilo, Hawaii.
Research Project The research project will focus on developing reproducible pipelines and workflows for genomic analysis in functional and population genomics. The lab hosts a complete production‑scale genomics laboratory, including all current sequencing technologies and tools, and provides resources for developing rich datasets for complex questions. Computational resources are available for large‑scale analyses, offering a unique opportunity for a fellow to obtain specialized training and experience aligned with professional development.
Learning Objectives This research fellow will gain experience in bioinformatics and computational biology, focusing on arthropod genomics and genetics. The fellow will learn the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on machine learning and AI models as appropriate. Skills to be gained include developing and maintaining containers (apptainer/singularity), workflows (nextflow, snakemake), and repositories (github) that can be implemented on high‑performance computing resources.
Mentor Scott Geib (scott.geib@usda.gov). If you have questions about the nature of the research, please contact the mentor.
Anticipated Appointment Start Date January 2025. The 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 Part‑time.
Participant Stipend The participant will receive a monthly stipend commensurate with educational level and experience, anticipated range $1,000 – $1,500.
Citizenship Requirements 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.PacificWest@orau.org and include the reference code for this opportunity.
Qualifications The qualified candidate should be currently pursuing or have received a master's degree in one of the relevant fields (biotechnology, biology, entomology, agricultural science, data science, computer science or related degrees).
Preferred Skills
Experience with command line, scripting, and basic bioinformatics.
Basic skills in bioinformatics and computational biology, such as familiarity with shell scripting, Python, R, and use of high performance computing resources.
Eligibility Requirements
Citizenship: U.S. citizen only.
Degree: Master’s degree.
Discipline(s): Various disciplines in data science, computer science, and related fields (e.g., artificial intelligence, computer vision, machine learning, bioinformatics, genomics, etc.).
#J-18808-Ljbffr