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: Contribute to reproducible codebases (R, Python, SQL) and mentor junior data engineers and graduate research assistants. Performs other work duties as assigned. The omission of specific duties does not
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optimization problems. • Design, coding and implementation of optimization models and algorithms in Python or C++. Familiarity with AMPL and/or Matlab is a plus. • Preparation, presentation, and publication
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, genomic characterization, or multi-omic datasets using statistical software (e.g., R, Python) would be a plus. Translational & Regulatory Knowledge: Experience or a structural understanding of translational
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, genomic characterization, or multi-omic datasets using statistical software (e.g., R, Python). Translational & Regulatory Knowledge: Experience or a structural understanding of translational pipelines
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. Extensive professional experience using R, Python or similar
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show