
Role Overview:
We are seeking a highly skilled Senior Data Scientist with strong exposure to the pharmaceutical domain to drive advanced analytics, predictive modeling, and data-driven insights for pharma R&D, manufacturing, and commercial operations.
Key Responsibilities:
Data Science & Advanced Analytics
- Build and deploy machine learning models for pharma R&D, clinical, supply chain, and commercial use cases.
- Perform exploratory data analysis (EDA) on structured and unstructured healthcare/pharma datasets.
- Develop predictive models for demand forecasting, patient behavior, drug performance, and operational optimization.
Business & Domain Collaboration
- Work closely with pharma SMEs, R&D teams, regulatory, and commercial stakeholders.
- Translate business requirements into analytical solutions.
- Present insights to senior leadership and business users.
Data Engineering & Model Deployment
- Work with data engineers to build pipelines and ensure high-quality data availability.
- Deploy models into production environments (cloud/on-prem).
Key Requirements:
- 5-10 years of experience as a Data Scientist.
- Strong exposure to the pharmaceutical / healthcare domain.
- Proficiency in Python/R, SQL, and ML frameworks.
- Experience with clinical data, R&D analytics, pharmacovigilance, or pharma commercial analytics.
- Hands-on experience with ML/DL models and data visualization tools.
- Excellent stakeholder communication skills.
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