Hiring.Camp

Data Engineer # 4885

Grailbio

·

2 days ago

Location
Durham, NC
Workplace
Hybrid
Type
Full-time
Department
Research & Development
Source
Lever

Description

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.

Skills

PythonAWSSQLAirflowSnowflakeData ScienceData EngineeringSalesforceTableauNetSuiteWorkdayGMPFDAComplianceR

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