
Healthcare Data Strategist
13 hours ago
We're seeking an expert to support the lifecycle of pharmaceutical products. This involves leveraging advanced analytics, predictive modelling, and real-world data to uncover key trends and opportunities.
- Support market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
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About the Role:
This is a hands-on position where you'll collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
Responsibilities Include:
- Advanced Data Analysis: Use advanced SQL and Python to extract insights from large-scale healthcare datasets.
- Predictive Modelling: Develop and implement predictive models to forecast patient outcomes and identify areas for improvement.
- Dashboard Development: Design and build interactive dashboards to visualise complex data and communicate findings to stakeholders.
Requirements:
- 5+ years' experience in commercial Patient Analytics or similar fields.
- Proven expertise in SQL (advanced joins, window functions, aggregations), Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools.
- Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.
Why Work with Us?
- Impact: Contribute to projects that improve healthcare delivery and patient outcomes globally.
- Growth: Be part of a rapidly scaling company with career advancement opportunities.
- Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
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