Bioinformatics Scientist – The Farhadian Lab, Yale University
We are looking for a bioinformatic specialist to contribute to our genomic studies of neuroinfectious diseases. The work includes managing data collections (retrieving data, pre-processing, storage) and performing analyses of single cell RNAseq and other large scale genomic datasets from human research participants with various infectious diseases.
About our team:
We use single cell genomics and other “big data” approaches to understand the roles of host immune activity and viral persistence in contributing to the brain effects of HIV, COVID-19, and other infections. Our studies focus on curated cohorts of patients with acute neurological infections and are supported by the NIH and others. We collaborate with labs in computational biology and others in the Departments of Medicine, Neurology, and Immunobiology, and at the Yale School of Public Health. Dr. Farhadian emphasizes strong mentorship and working with each member of the lab to achieve their career goals.
We seek an experienced bioinformatics specialist to contribute to our highly collaborative research program, with a focus on single cell RNAseq and single TCR/BCR analyses in research samples from people with HIV and other infections. You will take an active role in applying established bioinformatic tools, and, depending on your level of interest, in working with our collaborators in computational biology (Kleinstein and Kluger labs, Yale) to develop new tools to understand these data. The goal is to use multi-modal single cell genomics data to characterize host cells and pathogen presence in central nervous system and other tissue compartments during and after infection. Additionally, you will help to develop our lab’s practices for organization and sharing of large-scale genomics data.
Bachelor’s degree in science required; Master’s degree in bioinformatics, computational biology, statistics, computer science, or related field preferred. 1-2 years of bioinformatics experience required. Must have experience managing and working with next-generation sequencing data, as well as knowledge and experience in the use of existing bioinformatics tools and biological databases. Proficiency in R required. Previous experience analyzing single cell RNA seq datasets is preferred. Must have experience running tasks in a cluster environment.
How to apply:
Please send your CV and a statement of interest to email@example.com. Please include “Your name, bioinformatics position” in the subject of your email.
Yale University is an affirmative Acton/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans and member of minority groups.
Review of applications will begin immediately and will continue until the position is filled.