Scientific Data Architect

3 weeks ago


Boston, United States TetraScience Full time

About TetraScience TetraScience is the Scientific Data and AI company catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We bring these datasets to life in a growing suite of next‑generation lab data management solutions, scientific use cases, and AI‑enabled outcomes. Who You Are product‑minded, outcome‑obsessed driver of technical scientific solutions. high‑velocity self‑starter who refuses uncertainty and delivers rapid prototypes. Rolls up sleeves, prototypes, demos, and builds to accelerate product delivery. Collaborates with scientists, product managers, and engineers to transform complex data into actionable outcomes. Bridges present‑day pain points and generalizable solutions in the biopharma R&D domain. Shows a record of deeply learning new tools, methods, and domains. Embodies extreme ownership, building extensible data models and AI/ML‑driven applications for biopharma end users. What You Have Done PhD with 7+ years or Masters with 10+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML‑driven use cases in cloud environments. Collaborated with cross‑functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences—from scientists to executive stakeholders—using excellent communication and storytelling abilities. Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. What You Will Do Engage directly with customers onsite 4‑5 days per week in the Boston Region, building strong relationships and understanding their scientific data challenges. Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases. Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. Own, scope, prototype, and implement solutions, including: Data model design (tabular & JSON) Python‑based parser development Lab software integration via APIs (e.g., ELN/LIMS) Data visualization and app development in Python (Streamlit, holoviews, Plotly) Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) Programmatically interrogate proprietary instrument output files Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings. Proactively communicate implementation progress and deliver demos to customer stakeholders. Collaborate with the product team to prioritize our roadmap by understanding customers’ pain points within and outside the Tetra Data Platform. Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases. Benefits 100% employer‑paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401(k) Company‑paid life insurance, LTD/STD Remote work when not visiting customers onsite We are not currently providing visa sponsorship for this position. #J-18808-Ljbffr



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