Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead commercial analytics for oncology brand teams, driving strategy via data-driven insights that directly influence marketing, sales, medical, and market access decisions.
Design and evaluate test-and-learn experiments, marketing mix models, and patient journey simulations to prioritize investments and improve brand performance.
Develop scalable, production-ready analytics assets using Python, SQL, PySpark, and Databricks to automate and standardize analytics processes.
Minimum Requirements
6–8 years experience in Pharmaceutical/Biotech/Healthcare analytics with focus on secondary healthcare data (claims, EMR/EHR, patient datasets).
Bachelor’s degree in quantitative field (Engineering, Statistics, Economics, Applied Mathematics, Computer Science, Data Science, or related).
Hands-on expertise in Python, R, SQL (PySpark preferred), Databricks or equivalent platform, and business intelligence tools like Power BI or Tableau.
Experience working on commercial analytics with measurable business impact; not explicit notice period mentioned.
Ideal Candidate Profile
Proven capability to translate complex healthcare data and analytics into actionable commercial insights that influence senior stakeholders.
Experienced in building robust analytical models and scalable automated solutions within fast-paced, cross-functional teams.
Prior exposure to oncology analytics, patient pathway understanding, and use of advanced techniques like econometrics, predictive modeling, and simulation to inform brand strategy.