A hybrid Data & ML role at GRAIL. Own and drive large, complex data initiatives that impact multiple teams and stages of the product pipeline
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Original listing text, shown exactly as published by the company.
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Collaborate with data scientists, biostatisticians, and clinical teams to deliver data solutions and sample selections that support clinical trial and research analysis goals
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Contribute to data quality frameworks, including standards for validation, reconciliation, and observability across datasets
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Drive self-service data platform strategy, implementation and tooling, adoption through training and documentation
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Lead efforts to standardize and improve dataset generation, QC, and reporting workflows
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Evaluate and introduce new technologies, methodologies, and best practices to improve data management in a regulated biotechnology environment
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Mentor other engineers and contribute to technical leadership, standards, and best practices across the organization
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These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion
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BS with 8+ years, MS with 5+ years, or PhD with 3+ years of experience in a computational or scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.)
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Advanced proficiency in Python or R, with strong software engineering fundamentals
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Demonstrated experience designing end-to-end data systems and architectures — from ingestion and transformation to orchestration and visualization
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Deep understanding of data modeling, pipelines, orchestration, and data quality practices
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Proven ability to lead complex, cross-functional projects with significant business or scientific impact
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Strong communication skills, with the ability to influence technical and non-technical stakeholders
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Experience operating with high autonomy in ambiguous problem spaces
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Experience with distributed systems or system-level programming (Go, Java, C++)
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Familiarity with bioinformatics, clinical data systems, or molecular biology concepts
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Experience with cloud platforms (AWS) and modern data infrastructure
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Experience driving technical strategy, standards, or platform adoption
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Intermediate experience with AI-assisted development workflows…
GRAIL
Data & ML
18 open roles on Sydicom
GRAIL is a healthcare company dedicated to the early detection of cancer. They develop innovative liquid biopsy technology, including the Galleri test, to identify multiple cancer types from a single blood sample.
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