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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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biostatics analysis software (e.g. GraphPad Prism and R). Physical Demands: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some
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or multi-omics datasets. Proficiency in data analysis and computational modeling using R, Python, Bash, etc. Experience with automated pipelines and workflows (HPC, GitHub, Docker). Strong understanding
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, housing, transportation, rural communities, urban planning, education, or poverty Proficiency in one or more the following statistical software programs: R, Python, STATA, or SAS. Minimum Qualifications
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organizations. Provide data analysis support using statistical software tools such as R, UNIX, and Python. Assist in developing new research strategies and experimental techniques alongside Principal
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techniques and methodologies. Experience with data analysis software (e.g., MATLAB, Python, R). Excellent organizational, communication, and problem-solving skills. Ability to work independently and as part of
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; proficiency in computer programming such as MATLAB, R, or Python (this requirement could be changed from proficiency to familiarity if the suite of experimental skills are specifically strong and relevant
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statistical language required (R, Stata, SPSS, and/or Python). Excellent customer service skills. Preferred knowledge of data collection software such as Qualtrics or SONA. Ability to solve problems
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synthesize both qualitative and quantitative inputs to inform strategic initiatives. Leverage tools such as Excel, SQL, Tableau, Power BI, Python, and R to analyze large data sets and produce actionable
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healthcare data, particularly from EHR systems such as EPIC. • Proficiency in statistical software and programming languages (R, Python, SQL). • Strong knowledge of advanced statistical modeling, machine