\nGRAIL 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.\n\n\nAre 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!  \n\n\nGRAIL is seeking a Staff Data Engineer to join our team to support the growing data needs of GRAIL’s 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.\n\n\n\nRESPONSIBILITIES\n* 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.\n* Help model Grail data and ensure that it follows FAIR principles (findable, accessible, interoperable and reusable).\n* Drive the design, deployment, and automated delivery of data infrastructure, standardized data models, datasets, and tools.\n* Integrate automated testing and release processes to improve the quality and velocity of software and data deliveries.\n* Collaborate with cross-functional teams, from Research to Clinical Lab Operations to Software Engineering  to provide comprehensive data solutions from conception to delivery. \n* Ensure all software and data meet high standards for quality, clinical compliance, and privacy.\n* Mentor fellow engineers and scientists, promoting best practices in software and data engineering.\n\n\n\nPREFERRED EXPERIENCE\n* 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.\n* Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (e.g., SQL, DBT, Apache Airflow, AWS GLUE, Spark.\n* Extensive experience with DevOps practices, including CI/CD pipelines, containerized deployment (e.g., Kubernetes), and infrastructure-as-code (e.g., Terraform).\n* Experience with supporting data science / machine learning data pipelines, preferably in the context of analysis of biological data.\n* Experience in developing data pipelines using scalable cloud-based data warehouses / data lakes on AWS, Azure, or GCP.\n* Solid programming skills in  object-oriented and/or functional programming paradigms. \n* Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive towards clear engineering objectives and designs.\n* A commitment to constructive dialogue, both in giving and receiving critical feedback, to foster an environment of continuous improvement.\n\n\n\nHIGHLY WELCOME EXPERIENCE\n* Prior industry experience in the healthcare,  biotech, or  life sciences industry, especially in the context of next-generation sequencing.\n* Experience working in a regulated environment (e.g., FDA, CLIA, GDPR).\n* Proficiency in  Python, and R.\n* Experience building microservices and web applications.\n\n\n\n\n\nThe estimated, full-time, annual base pay scale for this position is $180,000 - $202,000.  Actual base pay will consider skills, experience, and location. \n\n\nBased 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.\n\n\nIn 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.\n\n\nGRAIL 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. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Diego, CA