Job Description:
This is an individual-contributor role within the Content Strategy team in Norstella Content Operations, reporting to the Director, Analytics & Insights (Clinical RWD/RWE Solutions). It is a hands-on technical role that turns approved clinical specifications and business rules into robust, scalable, production-grade RWD pipelines and analytical outputs. Clinical qualification is not required; deep technical fluency in real-world data engineering and analytics is. The role is UK-based and remote.
Where the Director and the clinical specialists own what the evidence should be and why, this role owns how it is built -developing the technical business logic that operationalises clinical intent against real-world data, and ingesting, transforming and standardising large claims, EHR, lab and registry datasets so cohort and endpoint definitions are implemented correctly, at scale, and are performant, reproducible, well-documented and AI- and agent-ready. Focus areas:
● Data engineering - build and maintain the pipelines that turn raw RWD into analysis-ready, standardised,



quality-controlled datasets
● Technical business logic - develop the technical business logic that translates clinical intent into buildable data logic, working with the clinical specialists to confirm the clinical side and surfacing edge cases the specification does not yet resolve
● Data quality & performance - own profiling, QC and optimisation so outputs are reliable and scalable
● AI- and agent-readiness (technical) - structure and expose data so it is retrievable, semantically consistent and reliably consumable by AI solutions and agentic workflows Responsibilities Own the technical build of RWD pipelines and datasets
● Develop the technical business logic that operationalises clinical intent - designing how cohort, endpoint and business-rule definitions are actually computed against messy real-world data, including join logic, temporal windows, episode and line-of-therapy rollups,

📌 Data Analyst (India)
🏢 Straive
📍 India