Who We Are

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:

• Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.
• Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
• Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
• Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
• Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.
• Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.

What You Will Do

• Own, prototype, and implement customer solutions.
• Research and prototype data acquisition strategy for scientific lab instrumentation.
• Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries).
• Design and build data models.
• Design and build Python data pipelines, unit tests, integration tests, and utility functions.
• Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc.
• Work with the customer to test and make sure the solution fulfills their requirements and solves their need.
• Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings.
• Facilitate internal project post-mortems to identify areas of improvement on the next implementation.