Staff Data Engineer (San Diego) #3378

March 29

GRAIL

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Detect cancer early, when it can be cured.

Cancer Detection • Cancer Biology • Clinical Trials • Computer Science • Machine Learning

501 - 1000

Description

• Drive design, deployment, and automated delivery of data infrastructure • Collaborate with cross-functional teams to provide comprehensive data solutions • Mentor fellow engineers and scientists

Requirements

• B.S. / B.A. in a quantitative field with 8+ years of related industry experience, M.S. with 5+ years, Ph.D. with 2+, or equivalent • Extensive experience with relational databases, data modeling principles, data pipeline tools, DevOps practices, and cloud-based data warehouses / data lakes • Solid programming skills in object-oriented and/or functional programming paradigms • Ability to navigate ambiguity and collaborate with product teams and stakeholders • Proficiency in Python and R, experience in a regulated environment (e.g., FDA, CLIA, GDPR), building microservices, supporting data science / machine learning data pipelines, and prior industry experience in healthcare, biotech, or life sciences

Benefits

• Collaborative team environment • Opportunity to work on cutting-edge technology in cancer detection • Mentorship and career growth opportunities