PATH is a global organization that works to accelerate health equity by bringing together public institutions, businesses, social enterprises, and investors to solve the world’s most pressing health challenges. With expertise in science, health, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales solutions—including vaccines, drugs, devices, diagnostics, and innovative approaches to strengthening health systems worldwide.
One of PATH’s primary activities is the development and commercialization of health and medical products for developing country use. PATH’s product teams conduct collaborative research and development with universities, manufacturers, and other institutions to develop products that are appropriate and affordable for developing country use. PATH's goal in these collaborations is to achieve maximum sustainable public health benefit by facilitating global technology access. The Diagnostics (Dx) Program focuses on the development of affordable, portable, easy-to-use diagnostics with a user-oriented perspective that focuses on the needs of the people. Taking the five key phases of PATH’s product introduction framework—concept, planning, R&D, validation, introduction, and sustainability—the Dx Program is able to advance a concept of health care need to actual product implementation and use.
PATH’s Diagnostic Program is seeking a Data Engineer with experience in core data management activities including data definition, data modeling, metadata management, master data management, and data preparation (ETL). Preferred candidates will also have experience in data visualization and/or data analysis either directly or in support of a data scientist. This person will apply their skills to a range of operational and research projects and concurrently build up rigorous data management practices for the Diagnostics Program. Work will be conducted in collaboration with Diagnostics subject matter experts, data scientists/analysts, and peer data engineers within PATH to fashion effective solutions to the data engineering challenges of the Diagnostics Program.
Specific responsibilities include:
- Design, develop, and maintain databases and file-based data repositories to support analysis, visualization, and decision-making needs of the Diagnostics Program
- Create and maintain essential metadata (data models, data dictionaries, and data flow diagrams)
- Establish master data management practices for core data shared across projects
- Develop data preparation (ETL) workflows to convert raw data into clean and properly structured data ready for use in analysis and data visualization
- Develop data visualizations to convey key information to Diagnostics staff
- Serve as a data steward to ensure data quality
- Collaborate with fellow data engineers at PATH to learn and share experience
- Collaborate with data scientists/analysts at PATH to ensure they are receiving clean data structured in a useful way
- Collaborate with PATH partners to ensure secure and efficient data sharing
- Train Diagnostics staff in basic data management practices to build capabilities and improve processes