Source description
About the role
The role requirements RWE analyst are as follows
Basic Qualifications:
Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, or related field.
At least six (6) years of relevant experience in statistical programming, data engineering, or software development in a life sciences or research setting.
Proficiency in SAS and/or R, with additional experience in SQL and Python.
Preferred Qualifications
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Master’s degree in Computer Science, Statistics, Data Science, or related field.
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Experience developing or maintaining solutions through a structured software development lifecycle (SDLC).
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Experience:
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Working with real-world healthcare data (RWD) such as healthcare claims (e.g., MarketScan, Optum Clinformatics, Medicare) and EHR databases (e.g., OptumEHR PanTher, Flatiron, CPRD, MDV)
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Working knowledge of version control (e.g., Git) and collaborative coding practices.
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Familiarity with AI and machine learning frameworks (e.g., OpenAI API, MCP server UI/UX or custom model training).
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Leading AI-driven programming assistants, copilots, or agents for workflow optimization.
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Competencies:
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Strong programming (e.g., SAS, R, SQL, Python), statistical and analytic skills
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Innovation and problem solving
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Strong documentation and communication skills
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Collaboration and teamwork across functions
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Organization and follow-through in structured projects
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AI and automation mindset
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Learning agility and curiosity
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Excellent verbal and written communication skills in English
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Ability to have efficient exchanges with colleagues across global locations
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