Postdoc:UCBerkeley.Genomics Postdoctoral position(s) in computational biology and genomics Keywords: Genomics; single cell genomics; evolution; reproduction; ecology; human disease; computational biology The Sudmant Lab (UC Berkeley) and Wilsterman Lab (Colorado State University) are seeking a joint postdoc to research the single cell evolution of the placenta and adaptation to altitude in deer mice. The Sudmant lab studies genetic and molecular phenotypic diversity at both the organismal and cellular level. We study the evolution of genome structure and cellular diversity. The Wisterman Lab studies the evolutionary and physiological processes that determine reproductive success in mammals. Our research is highly integrative at the level of the whole organism, with a particular focus on the placenta and its role in shaping maternal and fetal physiology. We are seeking a postdoc to work on a fully funded NIH project to understand cell-type specific evolution of the placenta using deer mice as a model. Human populations vary in their susceptibility to hypoxia-associated gestational complications: Populations that have adapted to high elevations over many generations (e.g., Tibetans and Andean Quechua) are at decreased risk for complications like fetal growth restriction. These population-specific protections are thought to be driven by adaptations that alter hypoxia responses at the cellular level. Deer mice (Peromyscus maniculatus), a model system in evolutionary biology, offer an experimentally-tractable system for dissecting the genetics and physiology of hypoxia-associated gestational complications with both highland- and lowland-adapted populations. This project seeks to 1) Identify how individual cell types contribute to population-specific hypoxia responses in the placenta and 2) Dissect the regulatory variation that underlies transcriptional response to hypoxia within cell types. The project is a collaboration between the Sudmant and Wilsterman Labs and the postdoc will be hosted at UC Berkeley. The position is fully funded (initial 24-month appointment, extendable) with a competitive salary scale. The ideal candidate will have strong computational and genetics experience. Our labs share a commitment to the idea that science should be fun, inclusive, collaborative, and open. Start date spring/summer 2026 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. Please email psudmant@berkeley.edu AND k.wilsterman@colostate.edu with your CV and a brief statement of interest for consideration. Peter Sudmant Associate Professor Department of Integrative Biology University of California, Berkeley psudmant@berkeley.edu (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)