About Us:
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.
Who we are:
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.
Responsibilities
Advanced SQL, Python / analytics tools
Data modeling & transformation
Experience US Pharma health care analytics
Knowledge in claims, sales, APLD data sets
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
Why Join Us?
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
Equal Employment Opportunity:
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Connect with Us:
Follow us for updates and more opportunities:
https://www.linkedin.com/company/chryselys/mycompany/
Discover more about our team and culture:
www.chryselys.com
