Chryselys is a Great Place to Work Certified Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
- People — Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
- Quality — Our goal is to deliver the value of a big five consulting company without the big five cost.
- Technology — Our solutions are business centric, built on cloud native technologies.
- Advanced SQL, Python / analytics tools.
- Data modeling & transformation.
- Experience in US Pharma healthcare analytics.
- Knowledge of claims, sales, and APLD data sets.
- Therapeutic Area (TA) exposure.
- Dashboard design & storytelling.
- Problem structuring & hypothesis-driven analysis.
- Automation & efficiency mindset.
- Own end-to-end analytical modules / use cases.
- Translate business problems into analytical frameworks.
- Generate actionable insights, not just outputs.
- Automate recurring analyses and improve scalability.
- Mentor Analysts and ensure quality of outputs.
- Partner with stakeholders for requirement refinement.
- Work on advanced analytical techniques using AI/ML in the Market Access functions for the pharmaceutical domain with industry-leading tools.
- Collaborate with Global and US teams to advance Market Access Contracting and Patient Analytics.
- Opportunity to drive AI/ML-based innovations in Market Access Analytics.
- Competitive salary, learning opportunities, and a dynamic work environment.
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Skills Required
- Advanced SQL skills
- Python or advanced analytics tools experience
- Data modeling and transformation experience
- Experience with US pharmaceutical healthcare analytics
- Knowledge of claims, sales, and APLD datasets
- Therapeutic area exposure
- Dashboard design and data storytelling skills
- Problem structuring and hypothesis-driven analysis
- Automation and efficiency improvement experience
- Ability to own end-to-end analytical modules or use cases
- Ability to translate business problems into analytical frameworks
- Ability to generate actionable insights
- Experience automating recurring analyses and improving scalability
- Ability to mentor analysts and ensure output quality
- Stakeholder partnership and requirements refinement experience
What We Do
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