Postdoctoral Research Associate: Addressing misclassification in the microbiome: A data-scientific approach to propagating uncertainty in microbial community composition

Project: Developing an automated pipeline for analyzing microbiome data that adjusts for different levels of data quality in the microbial genome sequencing process

Institutions: University of Wisconsin–Madison (Dr. Thea Whitman and Dr. Karl Broman) and the University of Washington (Dr. Amy Willis)

We are recruiting a postdoctoral researcher to work on a project developing an automated pipeline for analyzing microbiome data that adjusts for different levels of data quality in the microbial genome sequencing process. The successful candidate will work with the PIs to develop the algorithms and program the pipeline, which will be implemented as an open-source R package that provides methods to estimate, propagate and visualize uncertainty in microbiome data.

The ideal candidates will have interest in one or more of the following areas:
• Microbiome data analysis and methods development
• Bioinformatics
• Statistics
• Microbiology/microbial ecology
• User-focused software development

In addition, ideal candidates will have expertise in one or more of the following areas:
• Bioinformatics pipelines for marker gene analysis and/or microbial ecology
• Data quality in high throughput sequencing
• Bioinformatics pipelines for microbial ecology
• Software development in R and/or python

Applications due August 20. For details, see https://whitmanlab.soils.wisc.edu/2018/07/25/recruiting-postdoctoral-research-associate/

Application deadline:
Start date: ASAP