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bioinformatic analysis of high throughput datasets. Previous experience working with scientific databases Experience with ImageJ / Jupiter / Python coding and knowledge of python, R, and java computer languages
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experience working with scientific databases Experience with ImageJ / Jupiter / Python coding and knowledge of python, R, and java computer languages is desirable Computational pipeline development experience
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users at a scale exceeding standard academic sites. Utilizes key statistical programs (Stata, R, Python, SQL) to manage data and respond to complex researcher requests for data extraction and analysis
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experience, preferably with a focus on pharmaceuticals. Job Competencies Experience with data cleaning and documentation (e.g., using SAS, R, or Python) Ability to set goals and work independently to manage
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in academic research Strong organizational skills and attention to detail Dependability and accuracy in work Ability to follow established analytic protocols Proficiency in R, Python, Shell scripting
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of related research experience or an equivalent combination of education and experience. A strong background in conducting statistical analyses in R and/or Python, and computer programming or web development
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methodological training in (bio)statistics and/or machine learning Interest in developing rigorous methods for biomedical, clinical, or public health data Experience with statistical computing (R and/or Python
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micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
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frameworks. Proficiency with Python and/or Shell scripting. Proficiency using Git/Github or similar version control software. Working knowledge of server technologies and networking concepts, load balancing
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. Experience with programming languages such as Python, R, MATLAB, or C++ for data analysis, modeling, and automation. Experience using data visualization and business intelligence tools such as Power BI