Bioinformatics Engineer 1, Custom Data Report (Temp - 6 months)

Expertise in Python, particularly in using pandas data frames for data wrangling. Familiarity with standard bioinformatics NGS data formats and annotations. Proficiency in Unix/Linux environments and Bash scripting. Understanding of different assays and modes of sequencing (WGS vs. Exome, RNA-seq, Tumor vs. Normal, Somatic vs. Germline, etc.). Understanding of NGS biomarkers related to cancer (e.g. copy numbers, fusions, SNV and INDELs).

Work with our existing frameworks to execute custom report generation. Work within a team scrum context to ensure timely delivery across multiple concurrent projects. Perform detailed QC of the generated reports to ensure all of the content meets the customers' specifications prior to delivery. Using established QC tools for systematically testing the accuracy of generated custom reports to detect hidden errors and irregularities in the data. Collaborate with and provide feedback to the Custom Data Report (CDR) team to drive continuous improvement.