Glide Schrodinger PPI project

We seek a highly motivated and innovative MSc or PhD level bioinformatician/computational biologist to work with us to understand protein-protein interaction of processing enzymes in genetic clusters. The successful candidate will use Glide or AlphaFold to predict the interaction of two proteins. Then use that information to determine which amino acids can be mutated break that interaction. You should be able to mask regions of the receptor that should not participate in the PPI. The candidate will have significant experience with computational biology tools, genomic databases and NGS datatypes (Glide, AlphaFold, Trimmomatic, Samtools, UCSC genome browser, FASTQ, BAM). The candidate will develop data analysis plans, analyze data, and use this information to prepare reports in a timely and visually clear manner.