The American Heart Association is seeking a Jr. Data Management Developer to design, map, build, test, and implement solutions for data migration from operational systems to different platforms, and to analyze ETL methods for data transformation and loading into new database structures.
Requirements
- Analytical Thinking
- Attention to Detail
- Business Intelligence (BI)
- Data Analysis
- Data Analytics
- Data Architecture
- Extract, Transform, Load (ETL)
- Programming (Python, R)
- Structured Query Language (SQL)
Responsibilities
- Designs and implements data pipelines and architectures for efficient data collection, transformation, loading (ETL), and data management across various platforms.
- Develops standalone applications for data visualization and analysis, enabling better data accessibility and insights for research teams.
- Implements pipelines for data documentation.
- Works as a part of a dynamic team of biomedical researchers, database designers, data scientists, statisticians, software developers, and clinical data experts in existing research projects to support the data pipelines, database management, and creation of new tools.
- Supports team in the delivery of external grants by providing data science expertise.
- Collaborates with data scientists and statisticians to understand their data requirements and build systems that streamline data workflow and support advanced analytics.
- Helps query real-world patient registry data to address important research questions.
Other
- Requires a degree or equivalent experience
- Requires 3 years minimum prior relevant experience
- Collaboration
- Consulting
- Data Governance
- Data Management
- Data Science
- Data Security
- Effective Communication
- Initiative
- Innovation
- Problem Solving
- Time Management
