WHO WE ARE

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

WHAT YOU WILL DO

• Be a member of the Tetra engineering team building infrastructure to support scientific analysis software
• Self-start and make concrete progress in the face of ambiguity or conflicting requirements
• Design and develop efficient platforms and tools for others to develop and deploy high-quality scientific analysis software
• Address the resiliency, scale, and high availability requirements of these tools
• Deliver a high-quality product following the agile software development methodology
• Partner with the product management team to take the vision and ideas and turn them into reality
• Be comfortable working with a geographically dispersed team, in various time zones
• Learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.

WHAT YOU HAVE DONE

• 5+ Years of experience developing distributed systems to collect and process large datasets
• Proficient with Node.js, Typescript, and associated technologies, OR Python and associated technologies
• Proficient with Databases and SQL
• Familiar with Streamlit, Plotly Dash, etc for data visualization
• Familiar with container technologies like Docker
• Familiar with cloud infrastructure providers like AWS, Azure, or GCP
• Experience writing maintainable unit tests, and automated integration tests
• Good application debugging skills
• Strong communication skills, including technical writing
• Bachelors or Masters degree in Computer Science, or in a relevant scientific field
• Experience in Life Sciences or scientific data is a big plus!