USDA-ARS SCINet/AI-COE Postdoctoral Fellowship in Computational Design of Insecticidal Molecules and Genetic Control Systems jobs in United States
cer-icon
Apply on Employer Site
company-logo

Oak Ridge Institute for Science and Education · 1 week ago

USDA-ARS SCINet/AI-COE Postdoctoral Fellowship in Computational Design of Insecticidal Molecules and Genetic Control Systems

The Oak Ridge Institute for Science and Education is part of the U.S. Department of Agriculture, and they are seeking a Postdoctoral Fellow for research in computational design and genetic control systems for pest management. The role involves creating insecticidal molecules and genetic manipulation techniques, leveraging AI and machine learning to address agricultural challenges.

Government Administration
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Create RNA- and peptide-based insecticidal molecules utilizing genomic and transcriptomics datasets generated by the host laboratory
Utilize AI/machine learning, structural and computational biology, bioinformatics, and genomics tools
Develop efficient delivery systems and mutating key genetic targets in pest species
Employ a wide array of skills including big data mining, protein structure and function prediction, protein-ligand interaction, molecular modeling, molecular toxicology, workflow development, gene knockout design and optimization, and genetic transformation techniques
Engage in technology transfer through presentations and virtual trainings offered through ARS’s SCINet initiative
Contribute to committees, initiatives, or workshops established by the SCINet Protein Function and Phenotype Prediction Working Group as well as the Arthropod Genomics Working Group
Gain experience in multidisciplinary research on developing innovative management strategies for insect and plant pathogen pests associated with fresh and stored horticultural commodities

Qualification

Machine learningAlphaFold2Molecular biologyNucleic acid engineeringProject collaborationCommunication skills

Required

Currently pursuing or have received a doctoral degree in one of the relevant fields
Citizenship: U.S. Citizen Only

Preferred

Experience developing, testing, and refining machine learning models
Experience leveraging AlphaFold2 to generate high-accuracy protein models and structural insights
Experience engineering nucleic acid sequences and chemistries to optimize specificity, stability, and delivery to arthropod systems
Expertise in molecular biology including insect transformation and mutagenesis
Experience in project support and team collaboration in a multi-lab consortium setting
Excellent communication skills as evidenced by first-author peer-reviewed publication(s)

Benefits

A supplement to offset a health insurance premium
Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.

Company

Oak Ridge Institute for Science and Education

twitter
company-logo
The Oak Ridge Institute for Science and Education is a U.S.

Funding

Current Stage
Late Stage
Company data provided by crunchbase