Staff Software Engineer, Data Platform #3456

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 www.grail.com.GRAIL is seeking a Staff -level Software Engineer to help us evolve our data platform by supporting the growing data needs of GRAIL’s clinical and research activities. In this role you are a key member of our data platform backend software team, and you will have the opportunity to advance GRAIL's pioneering applications and make a profound difference in the lives of those affected by cancer!This a hybrid (on/off-site) role located in our Menlo Park, CA HQ with 2 days a week onsite. Due to the hybrid requirement at this point we are looking for an exceptional software engineer, confident in data platforms, who is located within driving distance of Menlo Park.ResponsibilitiesBe a part of a highly collaborative team that focuses on delivering value to cross-functional partners by providing secure access to data.Drive the design, deployment, and delivery of data infrastructure, standardized clinical data models, datasets, and tools.Collaborate with other software teams and work cross-functionally with Research, Clinical Data Management, and Medical Affairs to deliver end-to-end data solutions.Ensure that the delivered software systems and datasets adhere to software quality, clinical compliance, data sequestration, and privacy standards.Provide mentorship to other engineers on software engineering and data engineering best practices.Preferred QualificationsIdeal candidate will have a BS/BA and 8+ years, Masters and 5+ years or PhD and 2+ years of experience in software development.Extensive experience in developing data pipelines using scalable cloud-based data warehouses / data lakes on AWS, Azure, or GCP.Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines, e.g. DBT, Apache Airflow, AWS GLUE, Spark.Significant experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/Terraform.Substantial experience working with clinical study data, healthcare data, Real-World Evidence.Substantial experience with object-oriented and/or functional programming.Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive towards clear engineering objectives and designs.Openness to giving and receiving critical feedback in a constructive manner.Highly Preferred SkillsPrior industry experience at a healthcare / biotech / life sciences company.Familiarity with Software as a Medical Device and experience working in a regulated environment.Familiarity with Golang, Python, and R.Familiarity with Clinical Data Model standards (e.g. OMOP, CDISC) and Healthcare Data standards (e.g. FHIR, HL7 v2).Experience building microservices and web applications.Experience with supporting data science / machine learning data pipelines.The estimated, full-time, annual base pay scale for this position is $180,000 - $210,000. Actual base pay will consider skills, experience, and location.

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