GRAIL Jobs Hiring Now
GRAIL is hiring for 27 open roles on Migrate Mate as of August 31, 2026, concentrated in engineering (Non-Software) and business operations, with listed salaries up to about $339,000. Migrate Mate updates GRAIL's live openings daily. GRAIL is a biotechnology company focused on early cancer detection through blood-based testing, developing products that span clinical laboratory operations, research and development, and commercial sales.
Find GRAIL JobsOverview
GRAIL hiring data on Migrate Mate, as of August 31, 2026.
- Open jobs
- 27
- Top team
- Engineering (Non-Software)
- Seniority
- Manager level or above
- Work type
- 56% remote or hybrid
- Top location
- Durham
- Salary range
- $69,000–$339,000
Listed salaries for GRAIL roles on Migrate Mate range from about $69,000 to $339,000 per year across 27 open roles, as of August 31, 2026.
Open Roles at GRAIL
Showing 25 of 27+ GRAIL jobs
As a Data Engineer on the Operational Technology team, you will build and maintain the data pipelines that connect GRAIL's lab instruments, automation systems, and operational platforms to a trusted, well modeled data foundation. You will own well scoped ingestion and transformation pipelines end to end, partnering with systems engineers, lab operations, data scientists, and automation engineers to keep data flowing reliably from the lab floor to the analytics and AI systems that depend on it. This is a hands-on role for an engineer who is ready to take ownership of real data infrastructure and grow quickly in a fast paced, regulated environment. Expect to work alongside a talented and highly motivated team that moves quickly.
This role is based on-site in RTP, North Carolina, Monday through Friday. The position participates in an on-call rotation and may occasionally require weekend or holiday support for production incidents, maintenance, or critical deployments.
Responsibilities:
Build and maintain data pipelines that ingest and integrate information from laboratory instruments, automation systems, sequencers, operational platforms, APIs, autonomous robotics platforms, databases and file based data sources.
Support downstream analytics, reporting, and AI systems by delivering clean, trustworthy datasets and timely data extracts for troubleshooting, root-cause investigations and platform improvements.
Develop and optimize SQL and transformation logic to cleanse, standardize, and model raw instrument and production data into reliable, well structured datasets.
Build and support datasets and data models used by operational dashboards, analytics, process monitoring, troubleshooting, and governed AI enabled workflows.
Implement orchestration, testing, monitoring and alerting so that data failures, freshness issues, schema changes, and incomplete processing are identified early.
Implement data validation and quality checks to ensure datasets are accurate, complete, and reliable.
Document pipelines, data models, and datasets to support reproducibility and compliance with ISO, CLIA, CAP, NYS, GMP, and FDA requirements.
Continuously improve your technical skills and the team's engineering practices.
Required Qualifications:
Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
1+ years of relevant professional, internship, academic, or project experience in data engineering, analytics engineering, software development, or a related field, or equivalent practical experience.
Proficiency in SQL.
Working proficiency with one or more programming languages, such as Python, Rust, C++, or similar.
Basic understanding of ETL or ELT pipelines, relational databases, and structured or semi-structured data.
Strong attention to detail and a commitment to data quality, reliability and accuracy.
Ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and fast iteration.
Ability to investigate technical problems methodically, continuously learn and communicate clearly.
A highly analytical mindset and eagerness to solve technical problems.
Preferred Qualifications:
Familiarity with data pipeline orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
Familiarity with cloud data platforms, object storage and warehouses such as AWS S3, Redshift, Glue, Snowflake or comparable technologies.
Familiarity integrating AI/agentic tooling into the data engineering SDLC.
Experience with semantic data modeling, data lineage, and automated data quality testing.
Familiarity with statistical methods or basic process analytics.
Exposure to manufacturing, clinical laboratory operations, diagnostics, or biotechnology.
Experience with version control systems such as Git and collaborative development practices.
Basic understanding of APIs, file transfers, networking and system integrations.
The expected, full-time, annual base pay scale for this position is $86K - $106K. Actual base pay will consider skills, experience, and location.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
As a Data Engineer on the Operational Technology team, you will build and maintain the data pipelines that connect GRAIL's lab instruments, automation systems, and operational platforms to a trusted, well modeled data foundation. You will own well scoped ingestion and transformation pipelines end to end, partnering with systems engineers, lab operations, data scientists, and automation engineers to keep data flowing reliably from the lab floor to the analytics and AI systems that depend on it. This is a hands-on role for an engineer who is ready to take ownership of real data infrastructure and grow quickly in a fast paced, regulated environment. Expect to work alongside a talented and highly motivated team that moves quickly.
This role is based on-site in RTP, North Carolina, Monday through Friday. The position participates in an on-call rotation and may occasionally require weekend or holiday support for production incidents, maintenance, or critical deployments.
Responsibilities:
Build and maintain data pipelines that ingest and integrate information from laboratory instruments, automation systems, sequencers, operational platforms, APIs, autonomous robotics platforms, databases and file based data sources.
Support downstream analytics, reporting, and AI systems by delivering clean, trustworthy datasets and timely data extracts for troubleshooting, root-cause investigations and platform improvements.
Develop and optimize SQL and transformation logic to cleanse, standardize, and model raw instrument and production data into reliable, well structured datasets.
Build and support datasets and data models used by operational dashboards, analytics, process monitoring, troubleshooting, and governed AI enabled workflows.
Implement orchestration, testing, monitoring and alerting so that data failures, freshness issues, schema changes, and incomplete processing are identified early.
Implement data validation and quality checks to ensure datasets are accurate, complete, and reliable.
Document pipelines, data models, and datasets to support reproducibility and compliance with ISO, CLIA, CAP, NYS, GMP, and FDA requirements.
Continuously improve your technical skills and the team's engineering practices.
Required Qualifications:
Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
1+ years of relevant professional, internship, academic, or project experience in data engineering, analytics engineering, software development, or a related field, or equivalent practical experience.
Proficiency in SQL.
Working proficiency with one or more programming languages, such as Python, Rust, C++, or similar.
Basic understanding of ETL or ELT pipelines, relational databases, and structured or semi-structured data.
Strong attention to detail and a commitment to data quality, reliability and accuracy.
Ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and fast iteration.
Ability to investigate technical problems methodically, continuously learn and communicate clearly.
A highly analytical mindset and eagerness to solve technical problems.
Preferred Qualifications:
Familiarity with data pipeline orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
Familiarity with cloud data platforms, object storage and warehouses such as AWS S3, Redshift, Glue, Snowflake or comparable technologies.
Familiarity integrating AI/agentic tooling into the data engineering SDLC.
Experience with semantic data modeling, data lineage, and automated data quality testing.
Familiarity with statistical methods or basic process analytics.
Exposure to manufacturing, clinical laboratory operations, diagnostics, or biotechnology.
Experience with version control systems such as Git and collaborative development practices.
Basic understanding of APIs, file transfers, networking and system integrations.
The expected, full-time, annual base pay scale for this position is $86K - $106K. Actual base pay will consider skills, experience, and location.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
Job Roles at GRAIL
Working at GRAIL
GRAIL's 27 open roles are manager level or above, and about 56% are remote or hybrid. The most active teams are engineering (Non-Software), business operations, and product management. GRAIL is a biotechnology company that develops blood-based tests for early cancer detection, with work spanning clinical laboratory science, assay research and development, quality engineering, data science, commercial consulting, legal, and corporate functions. Most GRAIL roles are based in Durham, with some in Menlo Park and Sunnyvale.
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Browse jobs by roleGRAIL Jobs: Frequently Asked Questions
How many jobs is GRAIL hiring for right now?
GRAIL is hiring for 27 open roles on Migrate Mate as of August 31, 2026, updated daily, concentrated in engineering (Non-Software) and business operations. Roles span clinical laboratory operations, quality engineering, data science, commercial consulting, and corporate functions including legal, communications, and finance.
What kinds of roles does GRAIL hire for?
The most active teams are engineering (Non-Software), business operations, and product management. GRAIL hires across clinical laboratory science, assay research and development, quality engineering, site reliability and DevOps engineering, data science, commercial sales consulting, corporate communications, legal, and accounting. Most postings are manager level or above, reflecting the specialized and technical nature of the work.
Are GRAIL jobs remote or in-person?
Mostly remote. About 56% of GRAIL's open roles on Migrate Mate are remote or hybrid as of August 31, 2026, with the rest based in Durham. Each GRAIL listing shows its work location so you can filter before applying.
How do I apply to a job at GRAIL?
Find a GRAIL role on Migrate Mate, then follow the listing through to GRAIL's own careers site to submit your application directly. GRAIL manages its own hiring process, including application review, interviews, and offers, so all next steps happen on GRAIL's side after you apply.
What do GRAIL jobs pay?
Listed salaries for GRAIL roles on Migrate Mate range from about $69,000 to $339,000 per year as of August 31, 2026, with most postings at manager level or above. Exact pay is set by GRAIL and shown on each listing.
Does GRAIL hire entry-level?
Most of GRAIL's open roles on Migrate Mate are manager level or above as of August 31, 2026. Entry-level openings are limited. Check individual GRAIL listings for stated experience requirements.
Where is GRAIL hiring?
Most GRAIL roles are based in Durham, with some in Menlo Park and Sunnyvale, and about 56% offer remote or hybrid work as of August 31, 2026. Migrate Mate shows the location on each listing.