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
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.
- 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.
- Additional duties as assigned.
- 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.
- 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.
- 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.
- Please attach a Cover Letter, CV, and contact information for three (3) professional references.
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.
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