Senior Scientific Data Engineer

November 3

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TetraScience

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Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

📋 Description

• - You will be a Senior member of the Scientific Data Engineer team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. • - Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus. • - Take ownership of building data models, prototypes, and integration solutions that drive customer success. • - Research and prototype data integration strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries). • - Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions. • - Lead team-wide process/technology improvements on product quality and developer experience. • - Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them. • - Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen. • - Provide mentorship to junior SDEs and show leadership in every front.

🎯 Requirements

• - 8+ years of building solutions as a Data Engineer or similar fields. • - 8+ years working in Python and SQL with a focus on data. • - 6+ years of experience leading projects, managing requirements, and handling timelines • - 4+ years of experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones. • - Excellent communication skills, attention to detail, and the confidence to take control of project delivery. • - Quickly understand a highly technical product and effectively communicate with product management and engineering.

🏖️ Benefits

• - 100% employer paid benefits for all eligible employees and immediate family members. • - 401K. • - Unlimited paid time off (PTO). • - Flexible working arrangements. • - Company paid Life Insurance, LTD/STD.