Senior Data Analytics Engineer # 4527

GRAIL, Inc.
Durham, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 157K

Job location

Durham, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Software as a Service
Information Systems
Python
Minitab
Netsuite
Operational Databases
Salesforce
Statistical Process Control (SPC)
SQL Databases
Systems Integration
Tableau
JMP (Statistical Software)
Snowflake
Information Technology
Data Analytics
Coupa Procurement
Workday

Job description

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., * 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.

Requirements

  • 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., * 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

Benefits & conditions

The expected, full-time, annual base pay scale for this position is 118K - $157K. 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.

About the company

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., GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation 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 its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA 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 www.grail.com.

Apply for this position