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aws sql python data modeling airflowπ Description
- Solve real-world challenges on 4β12 week analytics engagements for pharma leaders.
- Translate data to value by turning pharmacy claims and prescriber trends into actionable narratives to improve patient access.
- Architect scalable solutions by designing structured data models and reusable code patterns.
- Consult with purpose by partnering with business leaders to align technical work with bottom-line goals.
- Drive team velocity by automating workflows and standardizing data processing to speed insights.
π― Requirements
- PhD in STEM + 1+ years data science; or Masters + 3 years.
- Data intuition & Real-World mapping: clean and structure data to preserve business signal.
- Mathematical foundation with curiosity about why data trends occur.
- Strong programming: Python and SQL; build data processing pipelines.
- Industry context: Life Sciences experience with focus on Patient/Brand/Sales Ops.
- Communication with impact: distill findings into strategic stories for non-technical leaders.
π Benefits
- Medical, dental, vision, and basic life insurance.
- Flexible PTO and company paid holidays.
- Retirement programs.
- 1% charitable giving program.
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