
Healthcare Analytics Specialist
1 week ago
We empower better healthcare decisions by uncovering valuable information from real-world datasets.
About the Role:
- Leverage advanced analytics and predictive modeling to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments.
- Support the full lifecycle of pharmaceutical products, from development to market launch and post-market monitoring, using data-driven strategies to uncover key trends and opportunities.
- Conduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies.
- Build and optimize automated data pipelines to improve reporting efficiency and deliver faster insights.
- Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
Essential Skills:
- 5+ years' experience working with pharma clients, leveraging longitudinal real-world patient datasets.
- Strong problem-solving mindset: able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
- Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
- Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
- Technical excellence: advanced SQL, Python, data visualization in Power BI, power-user of Excel. Able to take a brief and query/shape data end-to-end independently.
Why This Role is Exciting:
Join a pioneering team in healthcare analytics, applying machine learning, predictive modeling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain.
- 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.
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