Professional Specialist – Princeton University, United States

Bioinformatics Scientist Position in Metagenomics and Evolutionary Genomics

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 microbiomes. 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.

Applicants should have a Ph.D. or similar levels of experience in one or more of these disciplines. Experience handling and analyzing metagenomic and genomic datasets (such as those generating by high-throughput sequencing) as well as experience with scripting in bash, python, and/or R is desired. A background in statistics and/or population genetics is also desired. 

The start date for this position is flexible. Salary is competitive and commensurate with experience, and benefits are included. The initial appointment is for one year at the rank of Professional Specialist, with the possibility of renewal for up to three years. Applications will be accepted until the position is filled. This position is subject to Princeton University's background- check policy.

Applications must be submitted on-line at https://puwebp.princeton.edu/AcadHire/position/33742 and include a cover letter summarizing your research interests and experience, your current CV, and contact information for three references. Informal inquiries are also welcomed.

The work location for this position is in-person on campus at Princeton University.

Princeton University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.