GRAIL processes patient blood samples in factory-like laboratories to detect cancer. Engineering teams are tasked with building software and hardware to automate, analyse and streamline many processes in the lab. Additionally, Operations need metrics and insights into how things are running so that they can be improved. The data for some of these metrics have historically been built by Analysts within Operations. These are now moving under Software Engineering and we are building a team to support, stabilize and enhance these pipelines
Requirements
- Extensive experience developing 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 supporting data science and machine learning data pipelines, preferably in the context of biological data analysis and using Python.
Responsibilities
- Be a part of a highly collaborative team focused 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 to ensure 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—ranging 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.
Other
- Expected full time annual base pay scale for the bay area is $163K-$216K.
- Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive toward clear engineering objectives and designs.
- You are a strong written and verbal communicator and can adapt your communication style and the level of detail to your audience.
- 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.
