Related skills
aws sql python data modeling airflow📋 Description
- Solve 4–12 week analytics engagements for global pharma leaders
- Translate data to value from pharmacy claims and prescriber trends
- Design scalable data models and reusable code patterns
- Consult with leaders to align work with business goals
- Automate workflows to accelerate high-signal insights
🎯 Requirements
- PhD in STEM with 1+ years in Data Science, or Masters with 3 years
- Data intuition and real-world mapping to preserve business signal
- Strong mathematical foundation and curiosity about data trends
- Proficiency in Python and SQL for data pipelines
- Life Sciences industry experience focused on Patient/Brand/Sales Ops
- Ability to distill complex findings into strategic stories for non-technical leaders
🎁 Benefits
- Consulting experience in a client-facing role
- Workflow orchestration familiarity with Airflow
- Cloud infrastructure experience in AWS
- Specialized data knowledge: longitudinal patient data, payer data schemas
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