Postdoctoral Scholar Position in Comparative Plant Genomics and Bioinformatics

The Computational Plant Genomics Lab invites applications for a Postdoctoral position in the Department of Ecology and Evolutionary Biology at the University of Connecticut. We focus on developing computational approaches that integrate next generation sequence data to address questions in non-model plants, particularly forest trees. The lab has the following ongoing projects: 1) Understanding the evolution of alternative translation initiation using RNA-seq data 2) Integrating new and existing approaches to gene prediction to improve the annotation of complex genomes 3) Analysis of gene family evolution and related comparative genomics questions 4) Detecting variation in populations from GBS and related sequence data.


  • PhD in Genetics, Plant Genetics, Evolutionary Biology, Bioinformatics, Computational Biology, or other related field.
  • Track record of publications in comparative genomics.
  • Programming skills in Python, Perl, Java, C++, R or other language.
  • Experience with Linux and high performance computing environments.
  • Demonstrated ability in developing/applying statistical or machine learning methods in computational biology.
  • Experience in genome scale data analysis including RNA-Seq data, genome annotation, biological sequence analysis or other relevant computational genomics experience.
  • Highly motivated for interdisciplinary research, excellent communication skills, and the ability to work independently as well as within a research group.

Interested applicants should send their C.V., 2-3 page research statement, available start date, and contact information for three references to:  Applications that do not contain all materials will not be considered.
Location: University of Connecticut, Storrs, CT, USA
Start Date: ASAP
Duration: Full-time. Initial appointment is one year, with possible extension.

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Postdoctoral Researcher: Population Genomics in Forest Trees – Software Developer

The Plant Computational Genomics laboratory at University of Connecticut (Storrs, CT) has an opening for a software developer position as part of a collaborative project involving researchers from around the world. This person will take a lead role in the continued development of the TreeGenes genomics database and the CartograTree application ( and These web-based resources serve vast amounts of genomic, phenotypic, and environmental data to our diverse user community. In specific, the CartograTree application provides a portal for association genetics studies of georeferenced forest trees through the implementation of web services and high performance computing resources available through the iPlant/Cyverse project ( In addition, we are committed to developing mechanisms for data sharing among partner databases through Galaxy modules, the Tripal platform (, 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. Tasks will include developing connections to collaborating databases (web services), improving the user experience (interface development) and implementation of novel analysis and visualization tools for comparative genomics.  In specific, this project is focused on developing a wide range of intelligent methods to process heterogeneous datasets for association analysis (genotype, phenotype, and environment).  A variety of approaches will be implemented as well as downstream visualization in R.  The Postdoctoral Scholar will be provided with training opportunities and will attend conferences to present/train users on these new tools. In addition, publications on innovative software solutions and meta-analysis from this data will result.

The qualified applicant will have a PhD degree in Bioinformatics, Information Systems, Computer Science, or a related field. Biology/Bioinformatics experience is essential as well as previous experience with software development. The applicant should have experience with Linux/Unix, scripting languages (Python), R, and relational databases.  The applicant must have training in population genetics/genomics and a solid foundation in the statistical considerations in these analysis.

Interested applicants, Please send the following THREE documents: cover letter, research statement, and CV to: Jill Wegrzyn at 

Applications will be accepted until the position is filled.
Location: University of Connecticut, Storrs, CT, USA
Start Date: ASAP
Duration: Full-time