We are seeking a highly motivated enthusiastic person with experience in microbiome sequence data analysis, data visualization, and fluency in programming languages and familiarity with the Linux operating system and using high-performance cluster computing.
The primary purpose of this position (Associate Computational Scientist) is to implement and develop bioinformatic and statistical analytical tools for microbiome-related research projects. Specifically, we are looking for a candidate who can plan and execute a statistical analysis starting from tabular data and ending with an attempt to answer a specific research question. The ideal candidate will know which statistical approaches are appropriate to address the research questions and should be willing to develop alternative approaches if no such ideal approach exits for the problem at hand. The ideal candidate will be able to effectively communicate signals embedded in the data through various combinations of data summary statistics, visualizations, etc.