Senior Scientific Data Engineer

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do You will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions. Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward. Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript. Driv…

Publié 15 Oct 2026

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call. Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data. Behind the product sits a group of three companies in two currencies, and a small finance team that keeps all of it correct. We're hiring a Finance & AI Automation Intern to run core finance processes and automate the manual work out of them. About Us Soda's mission is to monitor the world's decisions. We're building the first Data & AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues by combining automated post-production monitoring with pre-production pipeline data testing. Soda was founded in 2019 by Maarten (employee #5 at Collibra) and Tom (creator of multiple open-source projects generating hundreds of millions in value). We commercialize through Soda Cloud and we're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo. The Role You'll join the Finance team that covers Soda Data NV (Belgium), Soda Data Inc. (US) and NannyML NV, the Belgian company we acquired in 2025. The work is real from week one: invoice processing, month-end reporting, payroll data preparation, expense management, and intercompany recharges across three entities, two currencies and three accounting systems. The second half of the job is making that work disappear. Finance at Soda builds agentically: Claude and other AI tools are part of the daily workflow, not an experiment on the side. You'll learn a process, run it until you know it cold, and then automate it. Sometimes that means an AI agent on GitHub, sometimes a well-designed formula - you pick the right tool and defend the choice. Accuracy is the bar for both: in finance, 99% right is wrong, so every automation ships with …

Publié 19 Sept 2026

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call. Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data. Behind the product sits a group of three companies in two currencies, and a small finance team that keeps all of it correct. We're hiring a Finance & AI Automation Intern to run core finance processes and automate the manual work out of them. About Us Soda's mission is to monitor the world's decisions. We're building the first Data & AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues by combining automated post-production monitoring with pre-production pipeline data testing. Soda was founded in 2019 by Maarten (employee #5 at Collibra) and Tom (creator of multiple open-source projects generating hundreds of millions in value). We commercialize through Soda Cloud and we're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo. The Role You'll join the Finance team that covers Soda Data NV (Belgium), Soda Data Inc. (US) and NannyML NV, the Belgian company we acquired in 2025. The work is real from week one: invoice processing, month-end reporting, payroll data preparation, expense management, and intercompany recharges across three entities, two currencies and three accounting systems. The second half of the job is making that work disappear. Finance at Soda builds agentically: Claude and other AI tools are part of the daily workflow, not an experiment on the side. You'll learn a process, run it until you know it cold, and then automate it. Sometimes that means an AI agent on GitHub, sometimes a well-designed formula - you pick the right tool and defend the choice. Accuracy is the bar for both: in finance, 99% right is wrong, so every automation ships with …

Publié 19 Sept 2026