Senior Data Architect
Listed on 2026-05-01
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IT/Tech
AI Engineer, Data Engineer, Data Scientist, Cloud Computing
Sci Pro 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, No
SQL, 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
- 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
- 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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