Postdoc:UCBerkeley.Genomics Postdoctoral position(s) in computational biology and genomics Keywords: Genomics; aging; somatic mutation; structural variation; long read sequencing; primate evolution; human disease; computational biology; cancer The Sudmant lab studies genetic and molecular phenotypic diversity at both the organismal and cellular level. We study the evolution, causes, and consequences of aging as well as the evolution of genome structure and cellular diversity. We are seeking a postdoc to research somatic mutation, aging, evolution, and diversity across primate species. The Sudmant lab at UC Berkeley is seeking a postdoc to work on a fully funded NIH project to understand differences in DNA repair and somatic mutation across the primate tree of life. Primates exhibit a 10-fold range in lifespan and ~1000-fold variation in body size that has evolved over the past ~70 million years. Understanding how mutation rates, spectra, and dynamics have evolved in both somatic and germ-line cells to facilitate this phenotypic variation is a key question with important implications for human health and disease. This NIH-funded project will employ state-of-the art sequencing methods to profile somatic mutations across different primate species. There is a particular focus on structural variation and employing long-read sequencing methods. This project is in collaboration with Alex Cagan (Sanger / Cambridge) and Raheleh Rahbari (Sanger). The position is fully funded (initial 24-month appointment, extendable) with a competitive salary scale. Our lab philosophy is firmly based on the premise that science should be fun, inclusive, collaborative, and open. The ideal candidate will have strong computational and genetics experience. Our lab philosophy is firmly based on the premise that science should be fun, inclusive, collaborative, and open. Required qualifications: Ph.D. or equivalent in genetics, genomics, biology, computer science or related fields and demonstrated record of productivity and publications. Experience with either generating or analyzing large-scale genomic data. Peter Sudmant Associate Professor Department of Integrative Biology University of California, Berkeley Peter Sudmant (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)