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-Flint student Familar with Python Familiar with Jupyter Notebooks Desired Qualifications* Computer Science major Attention to detail Self-starter Modes of Work Hybrid The work requirements allow both
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infrastructure. The Programmer/Data Analyst will have a number of key roles, including: Contribute to a codebase of Stata and Python to manage, process, and harmonize large administrative criminal justice datasets
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machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes of Work Hybrid
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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), developing and testing a codebase for arbitrary waveform programming (including a C-to-Python library), and building a computing and networking infrastructure for a new laboratory, including experimental
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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. Required Qualifications* Must be a senior undergraduate, graduate, or postdoc student Extensive programming experience in Python, with proficiency in Torch, Scapy, C programming, and Linux command-line tools
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cleaning and data completion adherence with the coordination team. Develop automated pipelines for data cleaning, pre-processing using a programming language such as R or Python. Conduct regular data QA/QC
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animal models. They will lead the modification of existing bioinformatic approaches and develop new tools for data analysis. The individual should be familiar with R or Python-based tools to analyze
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statistical software programs, such as: Stata, R, SAS, Python, etc. Ability to pass a federal background investigation to secure Special Sworn Status with the U.S. Census Bureau. Desired Qualifications* Prior