Senior Data Architect Job at SciPro, Boston, MA

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  • SciPro
  • Boston, MA

Job Description

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 solutions
  • Architect and implement structured data models (SQL, NoSQL, JSON schemas, ontologies) tailored for scientific data
  • Develop Python-based pipelines for parsing, modeling, and integrating scientific datasets
  • Integrate lab systems (ELNs, LIMS, and other software) via APIs to support seamless workflows
  • Collaborate with customer stakeholders to gather requirements and deliver fit-for-purpose solutions
  • Present technical solutions and progress updates to both scientific and non-technical audiences
  • Identify reusable components to inform platform productization and future builds
  • Serve as a trusted technical and scientific partner to clients, driving long-term adoption and success

Core 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 applications
  • Strong expertise in data modeling (SQL, NoSQL, ontologies)
  • Experience 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 required
  • Experience in drug discovery, preclinical development, or CMC.
  • Strong problem-solving and communication skills; ability to engage with scientists and stakeholders at various technical levels
  • Customer-facing experience and comfort leading discussions with external partners

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