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5 days ago
- Utilize real-world health datasets to uncover key trends and opportunities, supporting product development, launch, and post-market monitoring strategies.
- Develop market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimize automated data pipelines to enhance reporting efficiency and deliver faster insights.
We are pioneers in healthcare analytics, applying machine learning and advanced SQL/Python analytics to real-world datasets. Our expertise has supported 70+ therapy areas worldwide.
What You'll Do- Support the full lifecycle of pharmaceutical products using advanced analytics.
- Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
- Collaborate with Product and Sales teams to translate analytical insights into scalable solutions.
- Work with regional analytics teams to ensure consistent quality and innovation.
- 5+ years' experience in commercial Patient Analytics or advanced manipulation and interpretation of real-world healthcare datasets.
- Proven expertise in SQL (advanced joins, window functions, aggregations), Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualization tools.
- Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.
- Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).
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