Responsibilities:
• Develop queries and framework to generate replicable output for medication adherence, source of business, co-morbidity index, patient pathway and other patient attributes using secondary patient and provider claims data(Xponent, LAAD)
• Use statistical methods, such as Cluster Analysis, and appropriate predictive models to generate differentiated customer segments.
• Apply business acumen to identify and quantify trend shifts in patient-centric metrics.
• Use statistical and ML models to predict events such as likelihood to switch.
• Maintain notebooks through explicit and thorough documentation.
• Support ad-hoc deliverables.
• Develop PowerPoint Presentations to document major projects to enable knowledge transfer.




• Collaborate effectively with team members to identify opportunities for enhancement to existing processes.
• Manage stakeholder expectations through timely responses and transparent and clear expectations.

Why You?
Basic Qualifications:

Why You?
Basic Qualifications:
• Bachelor’s degree in Engineering, Statistics or a comparable quantitative field, and 7+ years of experience in pharmaceutical analytics.
• Expertise in US Pharma databases (Xponent, Anonymized Patient Longitudinal Data, LAAD)
• Proficiency in Python & SQL
• Ability to work independently and prioritize effectively.
• Mentoring team members, as needed

📌 Senior Data Scientist (Indiranagar)
🏢 ScaleneWorks
📍 Indiranagar