New job Research Scholar - Kannapolis Research in North Carolina

Research Scholar - Kannapolis Research

Company : North Carolina State University
Salary : Details not provided
Location : North Carolina

Full Description

Posting Number

Internal Recruitment

Working Title
Research Scholar - Kannapolis Research

Anticipated Hiring Range
Commensurate with Experience.

Work Schedule
Monday - Friday, 8:00am-5:00pm

Job Location
Kannapolis, NC

Kannapolis Research

About the Department

The NC State University Plants for Human health Institute (PHHI) is an established Institute located on the NC Research Campus in Kannapolis, NC. The NC Research Campus was created to have all aspects of human health and nutrition in one place complimented by multiple state and private entities providing the academic and research resources. The PHHI currently houses researchers and staff from various departments within CALS.

Essential Job Duties
  • Plants for Human Health Institute (PHHI) Small Fruit and Vegetable Breeding and Genomics Faculty member, Dr. Massimo Iorizzo, is seeking a highly motivated individual with expertise in bioinformatics and plant genomics to join the lab as a Research Scholar. The Research Scholar is expected to conduct advanced research in the group to develop genomic resources and reconcile, analyze complex multi-omics datasets to study genes and metabolic pathways affecting accumulation of health-promoting, phytoactive compounds in fruit and vegetable crops.
  • The successful incumbent of this position must be familiar with plant genome assembly (de-novo), gene prediction and annotation with an emphasis on genes involved in plant metabolic pathway, and comparative genomic analysis (e.g. Pan-genome analysis). Experience with marker traits association analysis such as QTL or GWAS analysis will be a plus. This research position is expected to coordinate and/or conduct multiple, concurrent assignments or a multi-faceted project. This position will engage in collaborative projects with other lab members and external collaborators that have expertise in plant and molecular biology, quantitative genetics, crop breeding and metabolomics. The position will also develop and maintain new analytical pipelines and computational/statistical approaches to analyze data, and provide training to other lab members including students, on bioinformatics and computational applications and tools in an HPC environment. The position will lead and assist in preparation technical reports, manuscripts and presentations. Depending on academic productivity, opportunity for career advancement exists within the Iorizzo lab.

This position is located in Kannapolis, NC.

Other Responsibilities
  • Additional duties as assigned.

Minimum Education and Experience
  • Ph.D. (or relevant terminal degree) in Bioinformatics, Genetics or related field.
  • Experience with advanced (such as Illumina, PacBio, Nanopore, Hi-C) sequence technologies to study plant genomes and characterize genes involved in secondary metabolite accumulation. This includes genome assembly, gene prediction, gene annotation, quantitative transcriptome analysis and integration of multi-omics data to perform gene network analysis.
  • Experience to work with multiple high-performance computing platform (eg. LSF, Slurm, SGE).
  • Experience with marker traits association analysis such as QTL or GWAS analysis will be a plus.

Other Required Qualifications
  • Must be familiar with plant genome assembly (de-novo), gene prediction and annotation with an emphasis on genes involved in plant metabolic pathway, and comparative genomic analysis (e.g. Pan-genome analysis).
  • Programming skills using Python, R, Perl or CC+.
  • Strong written and oral communication skills with ability to develop manuscripts, grant proposals and presentations.
  • Must be able to lift (with or without reasonable accommodations) up to 30 lbs on a frequent basis.

Preferred Qualifications
  • Strong communication skills demonstrated through first authorship in manuscripts, grant proposal, and/or presentations.
  • Working knowledge of metabolic pathways and database development and management. This includes knowledge of advanced programming and other computational skills as appropriate for advanced plant genomic studies.
  • Experience with database development and management.

Required License(s) or Certification(s)


Valid NC Driver's License required

Commercial Driver's License required

Job Open Date

Anticipated Close Date
Open Until Filled.

Special Instructions to Applicants
  • Please attach a Cover Letter, CV, and contact information for three (3) professional references.

Position Number

Position Type
EHRA Non-Faculty

Full Time Equivalent (FTE) (1.0 = 40 hours/week)

12 Month Recurring

Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather

Mandatory Designation - Emergency Events
Mandatory - Medical Emergencies

Is this position partially or fully funded on ARRA stimulus monies?

Department ID
110308 - Kannapolis Research


NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. If highest degree is from an institution outside of the U.S., final candidates are required to have their degree equivalency verified at or equivalent service. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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