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. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit . Are you a champion of automation interested in using your talents for optimizing processes that will make an impact on the fight against cancer? If so, join GRAIL on the Data Integration team in Research! GRAIL is seeking a Staff Data Engineer to join our team to support the growing data needs of GRAILs clinical and research activities. You will leverage your expertise in automation and data engineering to ensure our scientific teams have the data they need to succeed. This role is pivotal in advancing GRAIL’s mission by enhancing our data infrastructure and contributing to our early cancer detection efforts. This role is located at GRAILs headquarters in Menlo Park, CA. It is a hybrid role in which you will work two (2) days a week onsite at headquarters.
RESPONSIBILITIES Be a part of a highly collaborative team that focuses on delivering value to cross-functional partners by designing, deploying, and automating secure, efficient, and scalable data infrastructure and tools, reducing manual efforts and streamlining operations. Help model Grail data and ensure that it follows FAIR principles (findable, accessible, interoperable and reusable). Drive the design, deployment, and automated delivery of data infrastructure, standardized data models, datasets, and tools. Integrate automated testing and release processes to improve the quality and velocity of software and data deliveries. Collaborate with cross-functional teams, from Research to Clinical Lab Operations to Software Engineering to provide comprehensive data solutions from conception to delivery. Ensure all software and data meet high standards for quality, clinical compliance, and privacy. Mentor fellow engineers and scientists, promoting best practices in software and data engineering. PREFERRED EXPERIENCE B.S. / M.S. in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Computational Biology) with at least 8 years of related industry experience, or Ph.D. with at least 5 years of related industry experience. Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (e.g., SQL, DBT, Apache Airflow, AWS GLUE, Spark. Extensive experience with DevOps practices, including CI/CD pipelines, containerized deployment (e.g., Kubernetes), and infrastructure-as-code (e.g., Terraform). Experience with supporting data science / machine learning data pipelines, preferably in the context of analysis of biological data. Experience in developing data pipelines using scalable cloud-based data warehouses / data lakes on AWS, Azure, or GCP. Solid programming skills in object-oriented and/or functional programming paradigms. Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive towards clear engineering objectives and designs. A commitment to constructive dialogue, both in giving and receiving critical feedback, to foster an environment of continuous improvement. HIGHLY WELCOME EXPERIENCE Prior industry experience in the healthcare, biotech, or life sciences industry, especially in the context of next-generation sequencing. Experience working in a regulated environment (e.g., FDA, CLIA, GDPR). Proficiency in Python, and R. Experience building microservices and web applications. The estimated, full-time, annual base pay scale for this position is $190,000 – $223,000. Actual base pay will consider skills, experience, and location. Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings. GRAIL is an Equal Employment Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us ( to request accommodation. GRAIL maintains a drug-free workplace. #J-18808-Ljbffr
OOP CI/CD Infrastructure as Code (IaC) Data Science Python Continuous improvement Data Engineering automation R web-applications functional-programming automated testing DevOps data-modeling Mentoring data-integration Machine Learning RDBMS Healthcare industry microservices Software Developer