Senior Scientific Data Architect

SciPro has partnered with a high-growth cloud-based healthtech company at the forefront of digital transformation in life sciences, seeking a Data Architect. With deep integration across the world’s leading cloud and AI platforms, this company is redefining how scientific organizations collect, structure, and activate their R&D data to power next-generation discovery.They are looking for a Data Architect to collaborate directly with scientific stakeholders and internal cross-functional teams to deliver complex, data-centric solutions across the biopharma ecosystem. This role is key to translating lab-based workflows into scalable digital solutions, driving implementation of scientific data pipelines, and accelerating customers’ ability to leverage AI-ready data. This role is located in Boston, New York City, or San Fransisco.ResponsibilitiesTranslate lab workflows and scientific use cases into data-driven solutions using the company’s proprietary platformDevelop and implement technical components including Python-based data parsing, structured data design (JSON schemas), and lab software integration via APIsCreate interactive visualizations using Python (Jupyter, Streamlit, hvPlot, etc.) or commercial BI tools (PowerBI, Tableau, Spotfire)Conduct detailed interviews with customer teams to gather business and scientific requirementsWork cross-functionally with customer stakeholders and internal teams to ensure delivery of fit-for-purpose solutionsLead account sprint planning, manage delivery milestones, and communicate progress through customer demos and updatesIdentify reusable solution components to inform future product developmentServe as a technical and scientific thought partner to customers, enabling long-term platform adoption and impactMain Qualifications7+ years (PhD) or 10+ years (Masters) of hands-on experience using Python for data analysis, automation, or scientific data engineering3+ years of experience in the life sciences domain (biotech, pharma, bioinformatics, or scientific software vendor)Strong ability to translate complex scientific needs into technical specifications and data architecturesExperience integrating ELNs, LIMS, or other lab systems via APIsExcellent communication, critical thinking, and problem-solving skills with a collaborative mindsetStrong customer orientation and the ability to manage delivery independently in a fast-paced environmentFamiliarity with cloud technologies (AWS, Azure, GCP) is a plus #J-18808-Ljbffr

Created: 2025-09-17