Back
Tier-1 employer, mid-level role, metro location, and generalist analytics skillset increase candidate competition.
Pharma-specific datasets and IQVIA experience make industry fit highly sensitive.
Explicit 5+ years and mandatory tool proficiencies raise shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Act as internal consultant to specific pharmaceutical brand teams, delivering commercial solutions using predictive and prescriptive analytics.
Collaborate across Marketing, Medical, Sales, and Commercial Operations to implement analytical solutions for business opportunities and customer segmentation.
Lead development and deployment of new analytic capabilities, continuously improving processes and presenting findings to influence strategic decisions.
Bachelor’s degree in quantitative field (Engineering, Operations Research, Economics, Statistics, Applied Math, Computer Science or Data Science) required; advanced degree preferred.
2+ years experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis.
5+ years experience applying advanced statistical methods to large datasets.
4+ years proficiency in PySpark, Python, R, SQL; experience with platforms like DataBricks.
Experienced in handling large, complex longitudinal healthcare data including Claims, EMR, IQVIA datasets with strong statistical modeling skills (Time Series, Regression, Bayesian methods).
Proven ability to collaborate cross-functionally with business and commercial leadership to drive data-driven decisions in pharma.
Skilled in developing and deploying analytics capabilities with expertise in data visualization and communicating insights effectively.