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July 13

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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

•TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. •TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. •TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. •You will be leading the Scientific Data Engineering (SDE) Team and help build Tetra Data which is the foundation of the Data Engineering layer. •We are looking for a player-coach who is a seasoned data engineer and can be hands-on but can also provide mentorship to junior team members. •As a Technical Lead, you should be comfortable leading internal design sessions and architecting solutions. •You will work directly with Product Managers and Solution Architects to gather business and data design objectives. •As a Technical Lead, you will be a team-focused leader, supervise and collaborate on project executions. •Our success is defined by collaboration. •You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.

🎯 Requirements

•10+ years of building solutions as a Data Engineer or similar fields. •10+ years working in Python and SQL with a focus on data. •10+ 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.