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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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at the Massachusetts Green High Performance Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from
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, data vault, star/snowflake schema, and data products. Required Skills: Ability to write clean, optimized SQL and pipeline code. Strong analytical and troubleshooting skills with ability to diagnose
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infrastructure-as-code security SIEM solutions (e.g., Splunk) and vulnerability assessment tools Penetration testing and ethical hacking techniques Digital forensics and incident response practices Governance
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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in software engineering best practices, including version control, unit testing, source code management, documentation, and CI/CD workflows. Candidates with prior experience in graphical user interface
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for health and wellbeing; performance-based codes, digital compliance, and pathways such as system certification. Responsibilities: Responsibilities will include teaching undergraduate and graduate courses
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engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach selected graduate courses in the MGEN