We are hiring a Post-Doctoral Research Associate with expertise in Phylogenomics and Bioinformatics. The post-doc will work as part of a three-university NSF-funded collaboration to investigate the phylogeography and ploidal diversity of the moss Physcomitrium pyriforme using targeted sequence capture. More information about the project can be found at funariaceae.uconn.edu
- Ph.D. in Biology, Bioinformatics, Computer Science, or Related Field at time of start date
- 2-3 years programming experience (C++, Java, Python, R or similar)
- Fluency in English (oral and written)
- Analysis of next-generation sequence data using high-throughput methods.
- Adapting existing bioinformatics tools for species delimitation and population genomics of non-model, polyploid organisms.
- Designing novel phylogenomics packages to efficiently process target capture data.
- Working with the research team to write peer-reviewed manuscripts and conference presentations.
- Organizing a bioinformatics workshop to train researchers in target capture methods.
- Mentoring of graduate and undergraduate students.
Preferred candidates will have experience in one or more of the following:
- Design and deployment of open source bioinformatics packages.
- Data analysis (Jupyter/Pandas/R) and version control (Git).
- Design and implementation of SQL and other relational databases.
- Web design and interface with online databases.
- Phylogenomics analysis software (MAFFT, RAxML, ASTRAL).
- Evolution and biology of plants, including bryophytes.
Interested individuals should submit an application, including a statement of interest, CV, and a contact information of 3 professional interests at: https://bit.ly/2UvN7yT or search for job 16737BR on the Texas Tech staff job page.
Review of applications will begin on March 31, 2019 and will continue until the position is filled. A tentative start date for the position is June 1, 2019, but is flexible. Women, minorities, and persons with disabilities are encouraged to apply.
For questions about the position or how to apply, contact Dr. Matt Johnson at: email@example.com