TetraScience in Cambridge is seeking a product-minded, data-driven professional to industrialize Scientific AI. You will design extensible data models, translate scientific data workflows into robust Tetra Data Platform solutions, and travel up to 25% to work with customers onsite.
You will prototype Python-based parsers, integrate ELN/LIMS, build visualizations with Streamlit and Plotly, and partner with SBAs, customer scientists and applied AI engineers to deploy models.
#J-18808-Ljbffr
Remote Scientific Data Architect for AI-Driven Biopharma in Cambridge 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.
