For researchers seeking an expert-guided, collaborative microbiome research partner, Second Genome Solutions offers high-quality, end-to-end research services which goes well beyond sequencing data to deliver clear insights into the microbiome. With focus and expertise unmatched by other service providers and most academic centers, Second Genome Solutions’ Microbiome Profiling Services enables breakthrough discoveries in microbiome science for all life scientists.
As a member of our Research Solutions group, the bioinformatics analyst will be responsible for working with academic and industrial researchers to deliver highly insightful microbial community analyses across a host of different life science applications. The candidate should be broadly conversant with bioinformatics techniques for 'omic data analysis and be interested in applying these techniques to microbiome studies. Proficiency in R is a must; other software development experience is a plus but not required. Candidate will be responsible for spearheading collaborative analyses of 16S data will engage directly with external researchers to understand their goals and design an analysis plan to support study objectives.
Conduct high quality 16S analyses from NGS data for a variety of different life science disciplines
Engage directly with client research scientists to understand research questions and develop data analysis plan most appropriate for addressing those questions
Lead and complete comprehensive data analysis of clients’ data sets using available software tools and packages of organization
Complete interpretation of data in context of clients’ research
Communicate key findings in both written and oral formats, ensuring that clients have a full understanding of research findings
MS or PhD in Microbial Ecology, Bioinformatics or related discipline with a strong background and proven track record of novel research in microbiome biology
Research experience in microbial ecology, including analysis of complex microbial communities
Highly proficient in R
Strong work ethic, flexibility in adapting to changing research need
Excellent communication skills, and the ability to work independently and as part of an interactive and interdisciplinary group