Postdoctoral Research Associate
The Akey laboratory, located in the Lewis-Sigler Institute for Integrative Genomics at Princeton University, invites applications for multiple Postdoctoral Research Associate or more senior research positions. The Akey lab is broadly interested in the evolutionary, functional, and phenotypic consequences of genetic variation and have ongoing projects in yeast, dogs, and humans.
The successful candidate will leverage existing and novel large-scale WGS data from geographically diverse populations to better understand human history and the evolutionary forces that have shaped extant patterns of human genomic diversity. The specific research program will be tailored to the interests of the individual, but we are particularly interested in archaic hominin admixture, and how interactions between modern and archaic forms of humans shaped the trajectory of modern human evolution. Although this is primarily a computational position, there will be opportunities to develop experimental collaborations (for example, to study the functional and phenotypic consequences of adaptively introgressed DNA). In addition, the successful candidate will benefit from the strong interdisciplinary and collaborative atmosphere in LSI, and have the opportunity to interact with many outstanding research groups in computational, statistical, and functional genomics (including John Storey, Olga Troyanskaya, Mona Singh, Britt Adamson).
Appointments are for one year, with possibility for renewal pending satisfactory performance and continued funding.
The Lewis-Sigler Institute for Integrative Genomics, housed in the Carl Icahn Laboratory at Princeton University, was established to innovate in research and teaching at the interface of modern biology and complementary quantitative sciences. The Institute has a diverse interdisciplinary intellectual environment and provides significant support to its faculty and postdoctoral associates through heavy investment in state-of-the-art infrastructure and resources.
- PhD in Computational Biology, Population Genetics, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative background.
- Strong programming skills.
- Experience in population genetics analyses and working with large sequencing data sets.
- Strong background in statistical inference.
- Highly motivated and independent.
- Strong writing and communication skills.