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 clear 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 transparent 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 Python Data Scientist (Indiranagar)
🏢 ScaleneWorks
📍 Indiranagar