Senior Data Architect

SciPro has partnered with a rapidly growing, cloud-native healthtech company transforming how life sciences organizations structure and activate their data. With deep integration across the world's leading cloud and AI platforms, this company is redefining how R&D data is collected, modeled, and leveraged to accelerate discovery.We are seeking a Senior Data Architect to bridge the gap between complex scientific workflows and scalable digital solutions. In this role, you will collaborate with scientific stakeholders and cross-functional teams to design robust data architectures, enable AI/ML readiness, and deliver solutions that empower the biopharma and health industries to accelerate innovation.This role is based in Boston (hybrid: primarily remote, but must be available for onsite client engagements as needed).Key Responsibilities Translate scientific and lab-based workflows into scalable, data-driven solutionsArchitect and implement structured data models (SQL, NoSQL, JSON schemas, ontologies) tailored for scientific dataDevelop Python-based pipelines for parsing, modeling, and integrating scientific datasetsIntegrate lab systems (ELNs, LIMS, and other software) via APIs to support seamless workflowsCollaborate with customer stakeholders to gather requirements and deliver fit-for-purpose solutionsPresent technical solutions and progress updates to both scientific and non-technical audiencesIdentify reusable components to inform platform productization and future buildsServe as a trusted technical and scientific partner to clients, driving long-term adoption and successCore Qualifications PhD with 7+ years or Master's with 10+ years of experience in Python (scale 8–9/10 coding ability) for data architecture, engineering, or scientific applicationsExperience integrating lab systems (ELNs, LIMS, APIs)Familiarity with cloud platforms ( AWS required , Azure/GCP a plus)Background in life sciences (biotech, pharma, health & wellness, or adjacent) — experience in a scientific setting is requiredExperience in drug discovery, preclinical development, or CMC.Strong problem-solving and communication skills; ability to engage with scientists and stakeholders at various technical levelsCustomer-facing experience and comfort leading discussions with external partners#J-18808-Ljbffr