
Senior Analytics Professional
24 hours ago
Unlock the Power of Healthcare Insights
We're seeking a seasoned analytics professional to join our mission. As a key member, you'll harness advanced data analytics, predictive modeling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.
About Our Mission
We're a pioneer in healthcare analytics, leveraging machine learning, predictive modeling, and advanced SQL/Python analytics to uncover insights from real-world datasets—claims, EMR, registries, and supply chain. Our work spans 70+ therapy areas worldwide, with a focus on immuno-oncology and hepatitis.
Your Key Responsibilities
- Lifecycle Insight Generation: Apply advanced analytics to uncover key trends and opportunities throughout the product lifecycle, from development to market launch and post-market monitoring.
- Market Sizing and Analysis: Conduct cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies.
- Data Pipeline Development: Build and optimize automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
- Dashboards and Presentations: Develop interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
- Collaboration and Mentorship: Partner with cross-functional teams to translate analytical insights into scalable, productized solutions, and mentor junior team members to promote analytical excellence and knowledge sharing.
Why Join Our Mission?
- Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth: Be part of a rapidly scaling organization 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.
If you're ready to make a difference with your skills in SQL, Python, predictive modeling, and healthcare data analytics, we'd love to hear from you.
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