Postdoctoral Fellow - Bioinformatics (Temp)

Monday thru Friday

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.

Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred

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.

The postdoc will report to both the NCRC in Kannapolis and UNC Charlotte in Charlotte

Dr. Abbe LaBella
alabell3@charlotte.edu

Read more about our work at LabLaBella.com
UNC Charlotte Postdoc Benefits Information: https://gradlife.charlotte.edu/postdocs/benefits