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Responsibilities:

• Develop, test, deploy, automate, and support primer design pipelines
• Give to end user applications that support visualization and statistical analysis
• Troubleshoot problems, address issues, and answer questions from internal users, collaborators, and customers
• Deploy computationally efficient cloud-based technologies to maximize pipeline efficiency
• Interact with a cross-functional team of data scientists, engineers, and biologists to determine requirements and functionality

• PhD degree in bioinformatics, molecular biology, or related field
• Python programming and data analysis
• Experience implementing pipelines and analyzing NGS data
• Team-oriented
• Strong written and verbal communication
• Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail
• Experience with multiplex primer design
• Experience with advanced RNA or protein expression data, including single-cell
• Experience with common biological sequence databases and formats
• Experience with cloud computing
• Experience with any of the following: Common Workflow Language (CWL), Seven Bridge