Sobre esta vaga de Data Engineer #4885 na Grailbio

Grailbio · Híbrido · Durham, NC

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. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

As a Senior Data Analytics Engineer in Operational Intelligence, you will bridge Data Engineering, Data Science, and Analytics to curate and transform raw operational and laboratory data into BI-ready datasets and scalable data products. You will collaborate across Software, Operations, Research, Development, and Commercial to design and sustain a robust data ecosystem, while performing analysis and building and maintaining dashboards and analytical tools that monitor high-throughput lab processes. In this strategic, hands-on role, you will ensure the accuracy, accessibility, and utility of data and reporting systems that are critical to lab efficiency, traceability, and product quality, delivering trusted insights that drive measurable business value in a rapidly growing environment.

This role is based at our Durham, North Carolina, office. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.

Responsibilities:

Build, evolve, and support dashboards, reports, and real-time monitoring tools for functional teams and executives that clearly communicate findings and drive data-informed decisions.; enable self-serve analytics and automate common ad hoc requests.

Implement and continuously improve process monitoring systems (e.g., SPC, automated controls, alerting) to track and stabilize process health.

Define, govern, and report KPIs for throughput, quality, efficiency, and compliance; proactively surface trends, anomalies, and risks.

Develop and deploy predictive analytics, trend analyses, and models to anticipate process, equipment, and quality issues; partner with Data Science on model integration and deployment.

Collect, cleanse, and analyze process and production data from high-throughput lab environments; ensure timely, reliable access to accurate datasets.

Provide rapid data extracts and tailored analyses to expedite troubleshooting, containment, and root-cause investigations.

Ensure data quality and integrity through robust testing, validation, lineage, and observability; establish and monitor SLAs for critical datasets.

Maintain comprehensive process documentation compliant with ISO, CLIA, CAP, NYS, GMP, and FDA requirements; ensure monitoring and reporting systems are audit-ready.

These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications:

Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field.

5+ years of relevant experience as a data analyst, analytics engineer, or data engineer delivering production-grade datasets, dashboards, and reports.

3+ years of data modeling experience (dimensional/semantic).

2+ years building dashboards and reports in a modern BI platform (e.g., Tableau).

Proficiency in SQL and at least one programming language (Python or R).

Hands-on experience with AWS analytics services (e.g., Redshift, S3, Glue, Managed Airflow) and/or Snowflake.

Experience working with SaaS application data sources (e.g., NetSuite, Salesforce, Workday, Coupa).

Proven expertise in process analytics, SPC, statistical methods, and root-cause analysis (e.g., JMP, Minitab; SQL; Python/R).

Demonstrated ability to collaborate with stakeholders and system users to deliver robust solutions and measurable results.

Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory operations.

Preferred Qualifications:

5+ years of laboratory operations experience in regulated medical device, diagnostics, or biotechnology settings.

Master’s preferred.

Experience deploying and scaling process monitoring in high-throughput or automated environments.

Knowledge of end-to-end clinical lab workflows (sample shipment; pre-analytical, analytical, and post-analytical phases).

Strong understanding of regulatory and QMS frameworks (GMP, ISO 13485, ISO 15189, CLIA, CAP, NYS, FDA).

Excellent leadership, communication, and cross-functional collaboration skills

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 rc@grailbio.com 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!

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Sobre esta vaga de Data Engineer #4885 na Grailbio

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