Job Description

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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