TetraScience is seeking a hands-on Data Engineering Leader to head a team of Scientific Data Engineers in Cambridge. You will design data models, build scalable pipelines, and deliver production-grade solutions for pre-clinical data using Python, SQL, and modern tooling. You will mentor engineers, collaborate with Product Managers and Solution Architects, drive agile delivery, ensure test coverage, and ship end-to-end data applications and dashboards with React, Streamlit, and Jupyter. #J-18808-Ljbffr
Lead & Scale Scientific Data Engineering for AI Platforms 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.
