Location: Boston, MA
Cap-Exempt H-1B Position — No lottery required
Job Ref: JR-4351 Location: 450 Brookline Ave, BOSTON, MA 02215 Category: IT/Informatics Employment Type: Full time Work Location: Hybrid: 2-3 days onsite/week Salary/Pay Rate: $75,000.00 - $81,500.00 per year **Overview** The McGraw/Patterson Center for Population Sciences at the Dana-Farber Cancer Institute (DFCI) is seeking a motivated entry-level Bioinformatics Engineer to join its Data Management team, supporting high-impact research initiatives while contributing to the development of scalable data and AI-driven platforms. This position is closely aligned with research programs at the Lowe Center for Thoracic (Lung) Oncology, leveraging a robust engineering and multi-cloud ecosystem, and providing a unique opportunity to collaborate directly with research and clinical teams focused on thoracic cancers within a cross-center model. The successful candidate will work at the intersection of biology, data science, engineering, and AI—supporting immediate research needs while helping design and develop systems that scale across teams, centers, and the broader institute. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. **PRIMARY DUTIES AND RESPONSIBILITIES:** - Designs and develops software, databases and interfaces for analyzing and manipulating biological data. - Draws upon knowledge of biology to improve data mining and mana