The applicant must have:
- Experience with genetics and a recent doctoral degree (e.g., Ph.D.) in computational biology, computer science, genetics, epidemiology, biostatistics, bioinformatics, or related field. Alternatively, an M.D. with additional relevant computational experience.
- Expertise in R and R/Bioconductor and a scripting language (e.g., perl/python) in a Unix environment.
- An interest in working with a diverse group of scientists to advance understanding of neurodegenerative diseases through a synergy of wet and dry lab approaches.