SciPro has partnered with a high-growth cloud-based health tech 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 is a remote role that requires travel up to 20% to customer sites.

Responsibilities

• Translate lab workflows and scientific use cases into data-driven solutions using the company's proprietary platform
• Develop and implement technical components including Python-based data parsing, structured data design (JSON schemas), and lab software integration via APIs
• Create 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 requirements
• Work cross-functionally with customer stakeholders and internal teams to ensure delivery of fit-for-purpose solutions
• Lead account sprint planning, manage delivery milestones, and communicate progress through customer demos and updates
• Identify reusable solution components to inform future product development
• Serve as a technical and scientific thought partner to customers, enabling long-term platform adoption and impact

Main Qualifications

• 5+ years of hands-on experience using Python for data analysis, automation, or scientific data engineering
• 3+ 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 architectures
• Experience integrating ELNs, LIMS, or other lab systems via APIs
• Excellent communication, critical thinking, and problem-solving skills with a collaborative mindset
• Strong customer orientation and the ability to manage delivery independently in a fast-paced environment
• Familiarity with cloud technologies (AWS, Azure, GCP) is a plus