• Job Description

  The University of Nevada, Reno is recruiting for a Postdoctoral Researcher - Plant Bioinformatics and Systems Genomics Department of Biochemistry & Molecular Biology University of Nevada, Reno (UNR). The University of Nevada, Reno (UNR) invites applications for a Postdoctoral Researcher to join Dr. Won C. Yim’s laboratory in the Department of Biochemistry & Molecular Biology. The successful candidate will contribute to a multi-institutional, federally funded project focused on improving the productivity of Opuntia (cactus pear) as a sustainable bioenergy feedstock through integrated genomic, metagenomic, and systems-level modeling of plant–microbe–soil interactions. This position provides a unique opportunity to work at the interface of plant genomics, metagenome analysis, and computational systems biology, in collaboration with researchers at national laboratories (PNNL, NREL) and USDA research centers.

   

  Key Responsibilities

  • Lead bioinformatics analysis for large-scale genomic and metagenomic datasets derived from Opuntia and other desert-adapted plants.

  • Develop, optimize, and deploy genome assembly, annotation, and functional profiling pipelines using long-read and Hi-C sequencing data.

  • Integrate genomic and metagenomic results to identify key determinants of productivity and stress resilience in Opuntia.

  • Collaborate with molecular biologists, computational scientists, and agronomists to translate omics insights into physiological and ecological interpretations.

  • Prepare data visualizations, manuscripts, and conference presentations for dissemination of project results.

   

  Required Qualifications

  • PhD in plant biology, genetics, genomics, bioinformatics, computational biology, or related field.

  • Completion of a doctoral degree in the appropriate discipline is required.

  • The doctoral degree must have been completed within the five years immediately preceding the first date of appointment as a postdoctoral fellow at the University.

  • The individual cannot have held previous positions in the professional ranks.

   

  Preferred Qualifications

  • Experience with NGS data analysis and Linux based HPC environments.

  • Programming skills in Python or R and experience with Git.

  • Evidence of research productivity through peer reviewed publications.

   

  Schedule and Travel
  Schedule is Monday through Friday during normal business hours, with some flexibility in start and end times. Occasional evening or weekend work may be required to meet project deadlines or support time sensitive analyses.

   

  Compensation Grade
  Postdoctoral Scholar

   

  To view the salary schedule for this position, please visit: Salary Schedules. Salary is competitive and commensurate with related education and experience.

   

  Perks of Working at UNR

  • Health insurance options including dental and vision - Health Insurance

  • Generous annual and sick leave, life insurance – Faculty Benefits

  • E. L. Wiegand Fitness Center offers annual or semester memberships and spouse/domestic partner membership options.  E.L. Wiegand Fitness Center

  • Reno is proud to be a University town! Many local businesses offer discounts to WolfCard holders

  • Mountain EAP supports employees (and eligible dependents) through life's difficult moments. Mountain EAP is located in Reno and specializes in counseling and advising services for personal or interpersonal issues.

  • Faculty Senate is the principal representing body for faculty. Its membership includes representatives from each academic and administrative major unit of the University. Faculty Senate

  • No state income tax!

   

  Faculty Dual Career Assistance Program

  The University of Nevada, Reno recognizes the importance of addressing dual-career couples’ professional needs. We offer a dual career assistance program to newly hired faculty spouses/partners that provides resources and assists them to identify career opportunities in Northern Nevada. Dual Career Assistance Program

   

  College/Department Information

  The Department of Natural Resources & Environmental Science offers a variety of undergraduate and graduate programs to educate, inspire and prepare the next generation of scientists. https://www.unr.edu/cabnr & https://www.unr.edu/bmb
   

  Search Contacts

  For questions, please contact:

  Dr. Won Yim, Associate Professor, wyim@unr.edu (775) 682-9447

• Required Attachment(s)

  Required Attachment(s)

  Please note, once you submit your application the only attachment/s viewable to you will be the attachment/s to the resume/CV section of the application. Any additional required attachment/s to the cover letter, references, additional documents sections of the application, will not be viewable to you after you submit your application. All uploaded attachment/s will be on the application for the committee to review. To request updates to attachments, prior to the committee review of applications, please contact the candidate helpdesk at jobs@unr.edu

   

  Attach the following attachments to your application

  1) Curriculum vitae

  2) Cover letter detailing research interests and relevant experience

  3) Contact Information for Three Professional References

   

  This posting is open until filled

  Qualified individuals are encouraged to apply immediately. This search will close without notice when a sufficient number of applications are received or a hiring decision has been made.

Required Qualifications

• PhD in plant biology, genetics, genomics, bioinformatics, computational biology, or related field.

• Completion of a doctoral degree in the appropriate discipline is required.

• The doctoral degree must have been completed within the five years immediately preceding the first date of appointment as a postdoctoral fellow at the University.

• The individual cannot have held previous positions in the professional ranks.

Preferred Qualifications

• Experience with NGS data analysis and Linux based HPC environments.

• Programming skills in Python or R and experience with Git.

• Evidence of research productivity through peer reviewed publications.