The Bioinformatics Scientist in the Moeller Lab at Princeton University will lead and support projects that employ metagenomics and genomics methods to study the ecology and evolution of icrobiomes. The Moeller Lab studies the evolution of relationships between animals and microorganisms, with current work focusing on vertebrates' co-evolutionary histories with bacteria through a combination of -omics approaches, gnotobiotic and microbiology experiments, and natural history. Our group supports researchers with diverse interests in microbiology, ecology, and evolution studying a range of systems, including primates, rodents, lizards, frogs and toads, and birds. We are hoping to attract self-motivated and talented researchers who work well in a team environment. The successful candidate will work closely with the lab’s graduate students and postdocs to develop reproducible bioinformatics workflows for addressing fundamental questions about the ecology and evolution of microbial species within the gut microbiomes of vertebrates. The successful candidate will also have opportunities to develop independent projects in our group.
Primary role is to analyze and interpret genomic datasets for the Moeller Research group. This work includes writing scripts in bash, python, R, or other languages; development of snakemake workflows; generation of figures; communication with students and postdocs about conceptual issues with data analysis; and development and implementation of population genetic statistics for analyzing microbiome data.
Additional responsibilities include maintain labs servers and training undergraduate and graduate students and postdocs in bioinformatics (approximately 4-5 hours per week).
Depending on nterests and experience, there are many additional opportunities for training and implementation of additional techniques in the lab, including wet lab work. We will tailor this portion of time to specific interests and goals.
Essential qualifications:
- A bachelor's degree or higher in Bioinformatics, Biology, Statistics, Bioengineering, or a related field is required. Master's degree or PhD is a plus.
- Experience in basic scripting in bash, Python, and/or R.
- Good communucation skill
- Ability to lead a project independently and problem solve as needed
- Ability to work well with others in a team environment
- Ability to multi-task and prioritize in an environment with multiple demands and ongoing projects
- Excellent organizational skills and a strong attention to detail
Other valuable experience (not required):
- Experience with snakemake workflows
- Experience working in population genetics or microbiome research
- Experience teaching or training others in a laboratory setting
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