Postdoctoral Fellow – Bioinformatics (Temp) Position Available In [Unknown county], North Carolina

Postdoctoral Fellow – Bioinformatics (Temp) Please see Special Instructions for more details.
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•Temporary staff employees are ineligible to receive benefits (leave, health coverage, State service credit, etc.). They are, however, covered by Worker’s Compensation provisions. However, any non-permanent employee hired to work 30 or more hours per week for three months or more (cumulative of all positions, and not designated as variable hour worker), must be offered the chance to enroll in the High Deductible Health Plan, within 30 days of their eligibility. Any non-permanent employee hired to work less than 30 hours per week (cumulative of all positions or designated as variable hour worker – i.e. student workers) are measured during designated measurement periods. If they average 30 or more hours per week over a designated measurement period, they will be offered the chance to enroll in the High Deductible Health Plan and will be notified of instructions. •Special Notes Regarding Eligibility for the High Deductible Health Plan Temporary hourly workers (eligibility based on FTE, duration of more than 30 days) FTE .75+ (cumulative of all jobs) or measured full-time, offered the high deductible health insurance
Temporary salaried workers (regardless of the FTE, duration of more than 30 days) Reported as full-time & offered the high deductible health insurance
https://hr.charlotte.edu/benefits/benefit-plans/health-insurance Position Information
General Information Position Number STMP18
Working Title Postdoctoral Fellow – Bioinformatics (Temp)
Division Academic Affairs
Department Coll of Computing&Informatics (Col)
Work Unit Bioinformatics and Genomics
Work Location NC Research Campus
Vacancy Open To All Candidates
Position Designation Non-Student Temporary
Employment Type Temporary – Full-time
Hours per week 40 hours per week
Work Schedule Monday thru Friday Pay Rate Minimum Experience/Education This position requires a PhD in Biology, Genomics, Computer Science, or a similar field. The postdoc will report to both the NCRC in Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred.

Departmental Preferred Experience, Skills, Training/Education:

Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred Duties and Responsibilities Plan and conduct experiments. Analyze and manage data. Prepare manuscripts for publication. Train and mentor graduate and undergraduate students. Positively engage with the lab, department, and university communities. The synonymous codon content of mRNAs within a cell is tuned to the tRNA pool to promote accurate and efficient translation. This tuning, however, is not static and may be leveraged to modulate expression in response to external stimuli. This NIH-supported project uses the yeast subphylum Saccharomycotina to explore the role of codon usage bias in eukaryotic evolution and regulation. Our lab uses a combination of sequencing techniques and machine learning to uncover when, why, and how often cells alter the balance of tRNAs and codons.
The postdoctoral project will depend on the applicant’s background and career goals. Potential projects include 1) the construction of machine or deep learning models to identify patterns of codon usage in yeast genomes, 2) the implementation of tRNA-sequencing across diverse yeasts and conditions, and 3) the construction of tRNA deletion strains in yeast. Other Work/Responsibilities The postdoc will report to both the NCRC in Kannapolis and UNC Charlotte in Charlotte Necessary Licenses or Certifications Proposed Hire Date 07/01/2025