Data Engineer - Life Sciences - Python, SQL, ETL
January 23
Description
• TetraScience is the Scientific Data Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. • Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data. • Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values:
Requirements
• >5 years in Python and SQL. • Passionate about science and building solutions to make the data more accessible to the end-users. • Elasticsearch, science background, or experience with scientific instruments. • Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them). • Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc. • Excellent communications skills, attention to details, and the confidence to take control of project delivery. • Quickly understand a highly technical product and effectively communicate with product management and engineering. • Strong project, account management, and proactive problem-solving skills. • High-bandwidth: thrives when managing multiple simultaneous projects. • Intellectually curious: Unwavering drive to learn and know more every day. • Ability to think creatively on how to solve projects risks without reducing quality. • Team player and ability to "roll up your sleeves" and do what it takes to make the team successful.
Benefits
• Remote work • Full time
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