TetraScience is a Scientific Data and AI 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, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes You will be leading a team of Scientific Data Engineers (SDE) and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineering leader who is experienced, hands-on, and can also provide mentorship to junior team members As a tech lead/manager, you should be comfortable managing engineering tasks, leading internal design sessions, implementing solutions, and driving projects to final production releases. You will work directly with cross-functional teams like Product Managers, Scientific Business Analysts, and Solution Architects to gather business and data design objectives, resulting in production-based solutions You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external Manage a team of SDEs. Supervise their career growth and performance Work with cross-functional teams 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 solutions that drive customer success Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R
Tech Lead Scientific Data Engineering employer: TetraScience, Inc.
TetraScience, Inc. is an exceptional employer that fosters a remote-first work culture, allowing you to balance your professional and personal life while contributing to groundbreaking advancements in Scientific AI. With a strong emphasis on employee growth, TetraScience offers opportunities for continuous learning and development, alongside the chance to engage directly with clients and tackle real-world scientific data challenges. Join a team that values innovation and collaboration, where your contributions will have a meaningful impact in the biopharma industry.
