Jobs / GRA***
Staff Software Engineer – Data Team #4555
GRA*** · Menlo Park, CA, United States
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Menlo Park, CA, United States169,000-224,000 USD/yearlyOnsite
Remuneration
169,000-224,000 USD/yearly
Location
Menlo Park, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection.
Benefits
Package, offered in accordance with our applicable plans and policies.Please contact us at [email protected] if you require an accommodation to applyGRAIL maintains a drug-free workplace.We welcome job-seekers from all backgrounds to join us!
Qualifications
- such as schema evolution, blinding, consent, and privacy compliance
- Collaborate on cross-functional initiatives involving data quality, testing strategy, monitoring, and operational excellence
- Lead software engineering efforts for long-lived systems that must evolve alongside active clinical and research programs
- Mentor engineers and collaborate with scientists to ensure software decisions support both technical and scientific outcomes
- Contribute to documentation, onboarding materials, and processes that support cross-functional adoption and data literacy across teams]
- Participate in incident response or investigation processes related to data quality or availability issues in production systems]
- 7+ years of experience building production-grade software systems
- Strong software engineering fundamentals, including system design, data modeling, API design, and writing well-tested production code.
- Experience building and operating data-intensive software systems, not just declarative pipelines or SQL-only workflows
- Proficiency in Go or Python (or similar general-purpose language)
- Experience with data modeling, validation, and transforming real-world data into usable formats
- BS in Computer Science, Engineering or Bioinformatics, or a related field, or equivalent practical experience
Responsibilities
- Design and implement software systems that turn raw clinical, lab, and operational data into reliable, analysis-ready datasets
- Partner with scientists, clinicians, lab operations, and data teams to understand data generation, transformation, and usage needs
- Develop services, libraries, data models, and workflow components that enforce data integrity, access control, and compliance by design
- Navigate complex data
- summarize the role’s primary
- and are not an exhaustive list.
- They may change at the company’s discretion.
- Required
Degrees
AssociateBachelorDegreePhD
Work schedule
24/7
Industry
AutomotiveBiotechEnergyHealthcarePharmaPublic-sector