The Das Laboratory at the Department of Infectious Diseases at the Vanderbilt University Medical Center seeking a Post-Doctoral Fellow to contribute to projects that use a systems biology approach to study microbiome-host interactions in health and disease.
The incumbent will work on the ongoing research project understanding role of respiratory microbiome in early childhood respiratory diseases outcomes. The primary responsibility includes shotgun metagenomic sequencing data analysis and develop next-generation sequencing data analysis pipeline for clinical specimens. Integrating different layers of data obtained from metagenomics, metatranscriptome, immunological and clinical outcomes to defining the functional and dynamic interactions of host-microbial communities. Develop machine learning approaches to underpin the associations between host-microbial interactions and clinical outcomes after lower respiratory tract infections with virus in children. About 50% of efforts will be spent on predetermined research scope, developing a pipeline for metatranscriptome data analysis. About 30% efforts to analyze data, which including utilizing specialized skills in statistics and machine learning to examine the clinical metadata data and 20% efforts to participate in manuscript writing for publication in scientific journals and presentations.
Education, Skills, and Experience:
A doctorate in computer science, bioinformatics, information systems or another related field. Knowledge of modern data storage techniques both in the cloud and on premise. Advanced knowledge of a programming language such as Perl/Java/Python and a shell scripting language.
If interested please contact Ms. Meghan H Shilts with your resume and cover letter.
|Suman Das, PhD