Hybrid Staff Data Engineer: End-to-End Cancer Data Systems

Grailbio; Edison (CA); Hybrid; USD 165,000 - 237,000; Full time

Benefits offered by this job

Flexible time-off

401(k) with employer match

Medical, dental, and vision coverage

Job summary

GRAIL is seeking a Staff Data Engineer to lead data systems across the product pipeline from collection to processing and regulatory submission. This role partners with scientists and engineers to shape architecture and deliver robust datasets with high autonomy.

The candidate will own data lifecycle tooling, drive interoperability, and improve data quality across EDC, LIMS, and Bioinformatics pipelines, enabling impactful decision-making.

Qualifications

• BS with 8+ years, MS with 5+ years, or PhD with 3+ years in a computational/scientific field.
• Advanced proficiency in Python or R with strong software engineering fundamentals.
• Experience designing end-to-end data systems and architectures.
• Deep understanding of data modeling, pipelines, orchestration, and data quality practices.
• Proven ability to lead complex cross-functional projects with impact.
• Strong communication to influence stakeholders.
• Experience with distributed systems (Go/Java/C++).
• Experience with cloud platforms (AWS).
• SQL and data warehousing expertise.

Responsibilities

• Collaborate with scientists and engineers to deliver data solutions for clinical trials and research.
• Translate scientific requirements into robust data solutions.
• Contribute to data quality frameworks and observability across datasets.
• Lead self-service data platform strategy and tooling.
• Standardize and improve dataset generation, QC, and reporting workflows.
• Evaluate new technologies to improve data management in a regulated biotech environment.
• Mentor engineers and contribute to technical leadership.

Skills

Python

R

Go

Java

C++

SQL

Data warehousing

Communication

Cloud (AWS)

Education

BS / MS / PhD in computational or scientific field

Tools

AWS

Job description

GRAIL is seeking a Staff Data Engineer to lead data systems across the product pipeline from collection to processing and regulatory submission. This role partners with scientists and engineers to shape architecture and deliver robust datasets with high autonomy.

The candidate will own data lifecycle tooling, drive interoperability, and improve data quality across EDC, LIMS, and Bioinformatics pipelines, enabling impactful decision-making.