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Senior Pharmaceutical Data Scientist
3 weeks ago
We are seeking a highly skilled Data Architect to design and implement robust data warehousing platforms for the pharmaceutical industry.
The ideal candidate will have expertise in data architecture, data modeling, ETL processes, and infrastructure design. They will also have strong knowledge of data governance and regulatory compliance in the life sciences sector.
In this role, you will work closely with IT, data scientists, and business analysts to ensure the data warehouse supports various analytical and operational needs.
Key Responsibilities:- Data Modeling: Design logical and physical data models to ensure efficient data storage and retrieval.
- ETL Processes: Develop and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse.
- Infrastructure Design: Plan and implement the technical infrastructure, including hardware, software, and network components.
- Proven Experience: 10+ years of experience in data architecture and data warehousing, preferably in the pharmaceutical industry.
- Data Governance: Strong knowledge of data governance and regulatory compliance in the life sciences sector.
- Cloud Warehouse Skills: Expertise in leading cloud data warehouse platforms—Snowflake, Databricks, and Amazon Redshift—with a deep understanding of their architectural nuances, strengths, and limitations.
- Generative AI: Experience in managing semantic and common data layers using generative AI technologies.
- Advanced Analytics: Familiarity with advanced analytics and machine learning techniques.
- Regulatory Compliance: Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards.
