GRAIL is looking to solve the business and technical problem of early cancer detection by pioneering new technologies. They are seeking a Staff Software Engineer to help deliver high-quality datasets that power research, analytics, and scientific insights, ensuring all data solutions align with FDA and global health authority requirements.
Requirements
- Deep knowledge of ETL/ELT workflows, data pipeline development, and database management, with demonstrated success delivering data solutions for clinical or regulatory use cases.
- Expertise in SQL and proficiency in Go and Python.
- Experience with cloud-based data platforms (AWS, Azure, or Google Cloud) and preferably an understanding of compliance frameworks such as HIPAA and GDPR.
- Strong analytical and problem-solving skills, with a track record of maintaining data quality and integrity across complex datasets.
- Proven experience working on cross-functional teams and translating user requirements into scalable, high-quality data solutions.
- Hands-on experience with relational databases, data modeling, data pipeline tools, and workflow engines (e.g., SQL, dbt, Apache Airflow, AWS Glue, Spark).
- Familiarity with DevOps practices, including CI/CD pipelines, containerized deployment (e.g., Kubernetes), and infrastructure-as-code (e.g., Terraform).
Responsibilities
- Contribute to a highly collaborative team focused on delivering value to cross-functional partners by implementing processes and tools that prepare analysis-ready datasets.
- Integrate inputs from diverse data sources across the organization into well-structured, harmonized datasets.
- Build and maintain access controls and data-delivery mechanisms that uphold stringent blinding and privacy standards.
- Partner with Research, Clinical Lab Operations, and Software Engineering teams to define and implement data transformations that support downstream analysis.
- Ensure all delivered data adheres to software quality expectations, clinical compliance requirements, sequestration protocols, and privacy regulations.
- Implement automated testing and release processes to improve the reliability, quality, and velocity of software and data deliveries.
- Mentor engineers and scientists, promoting best practices in software development, data engineering, and operational rigor.
Other
- This hybrid role (60% of time onsite) and will be based Durham, NC in our state of the art lab.
- Ability to navigate ambiguity, refine evolving requirements, and work with product and stakeholder teams to drive clear engineering objectives and designs.
- Excellent written and verbal communication skills, with the ability to tailor technical content to diverse audiences.
- Expected full time annual base pay scale for the RTP area is $142K-$200K.
- GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow.
