What you’ll do

• Analyze high-throughput sequencing data generated on high-throughput sequencing instruments. This requires an extensive working knowledge of linux/unix commands, computer programming languages (R/python) and application of open-source software tools
• Secondary analyses of processed data including expression profiling, pathway enrichment analysis, functional annotation, transcription factor binding site prediction, putative motif identification, and chromatin accessibility prediction
• Storage and maintenance (data management) of raw data

What we’re looking for

• Advanced degree in Computational Biology, Bioinformatics, or related discipline and 1 to 2 years of related experience; or an equivalent combination of education and experience
• Experience with single cell RNA-sequencing analysis toolkits
• Competency with R/Python, SQL
• Excellent interpersonal, verbal, and written communication skills to effectively communicate results to non-bioinformatic team members; strong organizational and analytical skills; and the ability to work in a highly cooperative team environment as well as independently
• Knowledge of version control (GitHub, Docker, conda) is a plus
• Experience with biological data

What will separate you from the crowd

• Publication of your involvement in single-cell RNA/ATAC/multiomics analysis
• Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis

What you should know 

• The base pay range for this position at commencement of employment is expected to be between $90,000 and $205,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience