Staff Data Engineer - (Durham NC or Menlo Park CA) - #4571

Responsibilities

• Collaborate with data scientists biostatisticians and clinical teams to deliver data solutions and sample selections that support clinical trial and research analysis goals

• Translate complex scientific and analytical requirements into robust reusable data solutions

• Contribute to data quality frameworks including standards for validation reconciliation and observability across datasets

• Drive self-service data platform strategy implementation and tooling adoption through training and documentation

• Lead efforts to standardize and improve dataset generation QC and reporting workflows

• Evaluate and introduce new technologies methodologies and best practices to improve data management in a regulated biotechnology environment

• Mentor other engineers and contribute to technical leadership standards and best practices across the organization

• 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

Required Qualifications

• 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.)

• Advanced proficiency in Python or R with strong software engineering fundamentals

• Demonstrated experience designing end-to-end data systems and architectures — from ingestion and transformation to orchestration and visualization

• Deep understanding of data modeling pipelines orchestration and data quality practices

• Proven ability to lead complex cross-functional projects with significant business or scientific impact

• Strong communication skills with the ability to influence technical and non-technical stakeholders

• Experience operating with high autonomy in ambiguous problem spaces

 

Preferred Qualifications

Experience with distributed systems or system-level programming (Go Java C++)

Familiarity with bioinformatics clinical data systems or molecular biology concepts

Experience with cloud platforms (AWS) and modern data infrastructure

Experience driving technical strategy standards or platform adoption

Intermediate experience with AI-assisted development workflows

Strong SQL and data warehousing expertise

What We Do

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing population-scale clinical studies and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology and to develop and commercialize pioneering products.

Why Work With Us

Everything we do is guided by our mission to detect cancer early when it can be cured. It’s the reason we’re here and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge contribute their skills inspire each other and commit to something bigger than themselves.

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