Customer-Facing AI Data Architect – Life Sciences

Evolution USA; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Evolution USA is seeking a hands-on, data-focused architect to join our life sciences AI initiative in the Boston area. You will bridge science needs with scalable data models, design architectures, build Python data pipelines, and collaborate with scientists, engineers, and business stakeholders to deliver outcomes.

You’ll prototype solutions, engage directly with customers, and influence product direction across drug discovery, development, manufacturing, and quality environments.

Qualifications

• Must have life sciences domain expertise across drug discovery, preclinical development, quality, or manufacturing.
• Experience designing scalable data architectures and data models.
• Proven track record delivering AI/ML or data-driven solutions in cloud environments.
• Excellent communication with scientific stakeholders and ability to simplify complex concepts.

Responsibilities

• Partner with scientists and stakeholders to understand research and data challenges.
• Design scalable data models and architectures for scientific workflows.
• Build and deploy Python-based data pipelines and applications.
• Integrate ELNs, LIMS, and other laboratory platforms.
• Develop data visualization tools and scientific applications.
• Collaborate with AI/ML teams to operationalize use cases.
• Prototype solutions, demonstrate outcomes, and drive user adoption.
• Travel locally to customer sites across Boston area and wider region as required.

Job description

Evolution USA is seeking a hands-on, data-focused architect to join our life sciences AI initiative in the Boston area. You will bridge science needs with scalable data models, design architectures, build Python data pipelines, and collaborate with scientists, engineers, and business stakeholders to deliver outcomes.

You’ll prototype solutions, engage directly with customers, and influence product direction across drug discovery, development, manufacturing, and quality environments.