The Benayoun laboratory (gero.usc.edu/labs/benayounlab/) at the USC Leonard Davis School of Gerontology focuses on the study of how aging influences gene regulation, and in return, how modulation of genomic regulation mechanisms can influence the aging process. To study this question, we use a unique combination of high-throughput 'omics' approaches, machine-learning, and experimental validation in Vertebrate aging models (e.g. mice, African turquoise killifish, etc.). Our goal is to discover novel target genes and pathways playing a fundamental role in healthy and pathological aging by leveraging the power of big data.
The laboratory is seeking a skilled and motivated scientist to join the lab as a postdoctoral fellow and make leading contributions to aging research. Our lab closely collaborates with the Lee and Vermulst labs at the School of Gerontology, with plenty of opportunities for collaborative research for a fellow.
Successful candidates should have strong training and publication records, and must be able to learn and work independently, yet collaborate effectively with lab members and collaborators. The ideal candidate will have training in biostatistics or computational biology. Programming skills in a statistical language (e.g. R) and/or a scripting language (e.g. Perl or Python) are required, and knowledge of genomics, machine-learning, and UNIX-based environments are desired.
Candidates should have, or will soon receive, a Ph.D. or equivalent diploma in computational biology, genetics, or a relevant subject area. The successful candidate will work closely with the PI and her collaborators. Extensive training will be available in all areas of this highly impactful project, with a strong view towards enhancing future career prospects for the successful candidate.
Applicants should submit a resume, a cover letter stating research interests in the Benayoun laboratory as well as career goals, and contact information for at least three references to Dr. Benayoun (bbenayou[at]usc.edu).