RWE Data Scientist II, Real World Evidence – Oncology
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La posizione
Lead observational Real World Evidence studies in oncology, designing and executing endpoints using multimodal real-world data.
Independently partner with pharmaceutical collaborators to deliver robust RWE analyses that inform trial design and outcomes research.
Apply time-to-event methods, survival analysis, and causal inference to derive insights while assessing study limitations.
Leverage AI tools, including LLMs and agentic workflows, to speed up coding, documentation, and insight generation.
Interpret and communicate results to technical and non-technical stakeholders; prepare internal reports and external deliverables.
Collaborate across product, clinical, and data science teams to improve data quality, practices, and platform capabilities.
Independently partner with pharmaceutical collaborators to deliver robust RWE analyses that inform trial design and outcomes research.
Apply time-to-event methods, survival analysis, and causal inference to derive insights while assessing study limitations.
Leverage AI tools, including LLMs and agentic workflows, to speed up coding, documentation, and insight generation.
Interpret and communicate results to technical and non-technical stakeholders; prepare internal reports and external deliverables.
Collaborate across product, clinical, and data science teams to improve data quality, practices, and platform capabilities.
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