Postdoctoral Researcher: Advancing Population and Landscape Genomics in Forest Trees
The Plant Computational Genomics laboratory at the University of Connecticut (Storrs, CT) has an opening for a Postdoctoral Scholar. This individual will take a lead role in the development of the integrated CartograTree application (https://treegenesdb.org/cartogratree). This web-based software integrates vast amounts of genomic, phenotypic, and environmental data for our diverse user community. In specific, the CartograTree application provides a portal for landscape genomics and association genetics studies of georeferenced forest trees through the implementation of web services and high performance computing resources. In addition, we are committed to developing mechanisms for data sharing among partner databases through Galaxy modules, the Tripal platform (http://www.tripal.info/), the GMOD project, and custom analysis/visualization platforms.
The successful candidate will work as part of a small interdisciplinary team of bioinformaticians and data curators. They must have strong skills in population genetics as we are interested in developing intelligent workflows to perform meta-analysis across a range of study designs, marker types, and species. Research efforts will focus on the implementation of these workflows and the associated interactive visualizations. This project is focused on developing intelligent and efficient methods to integrate and process heterogeneous datasets for association analysis (genotype, phenotype, and environment). The successful candidate will be provided with training opportunities and will attend conferences to present/train users on CartograTree. In addition, publications on innovative software solutions for big data integration and meta-analysis will result.
The qualified applicant will have a PhD degree in Bioinformatics, Evolutionary Biology, Computational Biology, Genetics, or a related field. Biology/Bioinformatics experience is essential and previous experience with software development is desired. The applicant should have experience with Linux/Unix, scripting languages (Python), R, and relational databases. The applicant must have a strong background in population genetics/genomics and a solid foundation in the statistical considerations for these analysis. The position is renewable after the first year.
Interested applicants, Please send the following THREE documents: cover letter, research statement, and CV to: Jill Wegrzyn at email@example.com
Applications will be accepted until the position is filled.
Location: University of Connecticut, Storrs, CT, USA
Start Date: ASAP