Advanced Healthcare Data Strategist
19 hours ago
We are seeking an experienced Senior Data Insights Expert to join our team in Ahmedabad. This is a challenging role where you will leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments globally.
About Our Work
We apply machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide.
Key Responsibilities
- Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
- Mentor junior team members, promoting analytical excellence and knowledge sharing.
Required Skills and Qualifications
- 5+ years' experience in commercial Patient Analytics, commercial data analytics, data science, 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 visualisation tools (Power BI, Excel VBA/Macros, Power Query).
- Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.
- Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.
- Skilled in dashboard development, storytelling, and executive-level presentations.
- Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).
- Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.
Benefits
- Impact: Work on 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.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
Others
If you're ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we'd love to hear from you.
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