Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
Structured clinical data in the medical record is sparse and often requires inefficient medical record review, but this data is critical for research, clinical decision support, and advanced data science algorithms that can help better predict patient outcomes and identify better treatments. Dana-Farber is building a Clinical Data Curation Platform that enables curation of clinical data in a standard format, with a feed of structured data when available, machine learning algorithms that predict data elements for confirmation when possible, and harmonized rules when curation must be done from scratch.
We seek a Quality Assurance Software Engineer with expertise and experience of building test automation tools and perform White Box testing. The Quality Assurance Software Engineer will be responsible for writing monitoring and testing tools on web services to ensure continuous availability, high quality delivery and on time error reporting. The Quality Assurance Software Engineer will be a part of Dana-Farber’s software engineering team.
The position is currently funded for one year; renewal is anticipated depending on conditions at expiration.
The position does not involve supervisory responsibilities.
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.