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(1 Year) Skills: Clinical Research, Detail-Oriented, Information Organization, Interpersonal Communication, Medical Record Reviews, Organizing, Patient Information, Python (Programming Language
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maintains local and national data repositories. Generates routine reports, statistical summaries, and figures using SAS, R, or Python. Optional: contributes to wet lab tasks (e.g., tissue sectioning, IHC
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figures using SAS, R, or Python. Prepare figures for publication Assist with the drafting and editing of manuscripts Optional: contribute to wet lab tasks (e.g., tissue sectioning, IHC, qPCR). Working
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complex datasets to be used in epidemiological and statistical analyses. • Develop and implement new computational and statistical methods. Write, test, and maintain code primarily in Python (preferred) and
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learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Work Collaboratively, Working Independently Questions For frequently asked questions about the application process, please
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a frontline fundraiser preferred. Experience managing large data sets. Proficiency in data analysis and reporting tools (e.g., Excel, Tableau, Power BI, R, Python, or similar) to support portfolio
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prototyping tools, Python, MATLAB, and R Perform other duties as assigned. Working Conditions: Works in a laboratory environment with potential exposure to biological and chemical hazards. Must be physically
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc