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:
Required Skills Required Experience
Bachelor’s degree plus a minimum of one year of relevant experience as a data engineer required; Master’s degree preferred in Data Engineering, Data Management, or Data Science.
Strong experience in:
Ability to work effectively with colleagues to achieve team goals.
Excellent verbal and written communication skills.
Ability to travel internationally up to 10% annually.
Ability to creatively problem solve independently.
Must have legal authorization to work in the United States.
PATH is dedicated to diversity and is an equal opportunity employer.
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PATH is an equal opportunity employer. Every qualified applicant will be considered for employment. PATH does not discriminate based on race, color, religion, gender, gender identity or sexual orientation, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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