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• Proven experience as a Data Scientist within a healthcare or clinical setting.
• Proficiency in Python and SQL in cloud environments (Snowflake, Azure, GCP).
• Strong knowledge of study design, survival analysis, regression, and longitudinal data analysis.
• Ability to translate complex analytics into clinical and operational insights.
• Excellent communication skills for technical and non-technical audiences.
• Experience delivering end-to-end AI and GenAI projects.
• Understanding of scalable ML infrastructure and architecture.
• Familiarity with agile workflows and Azure DevOps tools (Boards, Repos, Pipelines).

• Proficiency in R and Power BI.
• Industry experience within healthcare or large regulated organisations
• Awareness of FHIR standards

What you need to do now

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