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Python and R for use in data science and modeling. Excellent writing and communication skills; demonstrated publication record. Preferred Qualifications Knowledge of cancer biology, clinical oncology
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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
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statistical analysis knowledge. Preferred Qualifications Experience in Cardiology or Congenital Heart Disease clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience
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to have exceptionally strong backgrounds in GIS, computational science and expertise in other sciences (biology, ecology, physics/engineering, etc.) and programming (e.g. R, Python, etc.). The successful
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statistical analysis knowledge. Preferred Qualifications Experience in Cardiology or Congenital Heart Disease clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience