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, and documenting data processing and reporting systems using SAS (programming and macro development), Excel (VBA and macro automation), SQL, and Python. Assist with data analysis and preparation
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(e.g., Medicare claims, prescribing, and corporate ownership data); write reproducible code in Stata, SAS, R, or Python; and contribute to study design, statistical modeling, and publication. We
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. Applicants should have strong familiarity with data analysis in Python and/or R. Desired Qualifications* Familiarity with Spanish and/or Mandarin will be an added benefit (but is not a requirement). Modes of
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related field Programming/technical proficiency using Python, Javascript, Matlab, and/or Simulink Ability to work independently and collaboratively as a member of a cross-functional team Ability
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: Bachelor's degree in a recognized field of science or related discipline. Extensive knowledge of healthcare data types, clinical topics, and scientific approaches. Proficiency with R (preferred) or Python
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infrastructure concepts Proficient with scripting languages (Python, Powershell, Bash, etc.) Experience mentoring technical teams and leading complex projects Excellent problem-solving, communication, and
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workflows using Python, dbt, and orchestration tools such as Prefect or similar platforms. Establish best practices for data ingestion, transformation, archival, recovery, and lifecycle management across
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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delivering data across systems Develop backend services and APIs using languages such as PHP and Python Contribute to frontend and backend application development as needed Manage application source code using
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Qualifications* Excellent written and verbal communication skills with demonstrated ability to work effectively in a collaborative research environment Strong proficiency in Python; experience with FastAPI