Required Skills / Experience
• PhD in bioinformatics, structural biology, biostatistics, computer science, or related quantitative field (mandatory)
• Experience working with single-cell data and/or good understanding of the signal and noise in single-cell data. Experience with multi-omics data is a plus
• Experience in RNASeq, Microarray, miRNA profiling and DGE analysis is required
• Pathway analysis experience using software like IPA will be highly regarded
• Demonstrated ability to assess assay performance and derive biological insights by evaluating single-cell sequencing results using data visualizations and statistical tests
• Functional experience coding in at least one programming language (Python, Perl, C++/C) and a statistical computing language (R, S, etc.)
• Strong experience in statistics, data analysis and pipeline development
• Demonstrated ability to troubleshoot complex problems
• Excellent communication and teamwork skills to work with both experimental and computational scientists in a collaborative environment
