Research Associate: Computational Biologist (Internal Employment Opportunity)
About The Position
This is an Internal Employment Opportunity. The Department of Botany and Plant Pathology invites applications for a full-time (1.00 FTE), 12-month, fixed-term Research Associate position. Reappointment is at the discretion of the Department Head. This position exists to support research on Agrobacterium vitis. The incumbent will be responsible for using computational and molecular biology methods to study genome sequences and strains to infer the evolutionary basis for plasmid host range in the bacterial pathogen, Agrobacterium vitis and genomic bases of virulence and plasmid content in the Agrobacterium/Rhizobium genus. College of Agricultural Sciences (CAS) faculty are committed to enhancing student success by engaging students in quality academic, research, internships, global studies, and other experiential learning opportunities. There is an expectation that, as part of your role in the college, you embody and advance the principles and practices conveyed in the CAS CARE Commitment document.
Requirements
- PhD in biology, computer science, or related fields.
- Three years (by start of position) of postdoctoral experience in computational, genome analysis of plant bacterial pathogens.
- Research experience with Agrobacterium tumefaciens and Agrobacterium vitis.
- Expertise with Agrobacterium and Rhizobium genomics.
- Experience with developing computational workflows for other researchers.
- Experience using a high-performance computing (HPC) cluster.
- Demonstrably collaborative.
Nice To Haves
- Demonstrated productivity, capacity for independent research, and intellectual creativity.
- Experience mentoring undergraduate students.
- Demonstrated commitment to workforce development and outreach.
- Demonstrated commitment to service.
Responsibilities
- Uses computational methods to study genome sequences to infer the evolutionary basis for plasmid transfer and host range in the bacterial pathogen Agrobacterium vitis.
- Uses computational methods to study genome sequences to infer the evolution of Agrobacterium and Rhizobium species and their plasmids.
- Uses molecular biology methods to understand plasmid transfer and host range.
- Mentors and assigns tasks to undergraduate student workers.
- Contributes to outreach and departmental service.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
