The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, Biomedical Engineering, or a closely related field, and have at least three to five years of experience in bioinformatics, preferably in a therapeutic or research setting. They should have demonstrated experience teaching or supporting graduate-level courses, particularly in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic data analysis tools and platforms, including NGS pipelines, RNA-seq, or variant calling, and a strong understanding of cell and gene therapy concepts and applications. Effective communication skills, an open and supportive teaching style, and prior experience in a diverse higher education environment are also highly desirable.