Scientific Solutions Data Architect

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

We're partnering with a fast-growing technology company that is helping leading life sciences organizations unlock the value of their scientific data and accelerate R&D through AI-driven solutions.

This is a highly visible role for someone who enjoys combining scientific expertise, data architecture, software development, and customer engagement. You'll work directly with scientists, technical teams, and business stakeholders to transform complex research workflows into scalable data and AI solutions that drive real-world outcomes.

This is not a traditional architect role. You'll be expected to get hands-on, prototype solutions, engage directly with customers, and help shape how next-generation scientific platforms are used across drug discovery, development, manufacturing, and quality environments. The role requires someone who enjoys solving ambiguous problems, can build credibility with scientific users, and thrives in fast-moving environments.

What you'll be doing:

• Partner directly with scientists and stakeholders to understand research and data challenges
• Design scalable scientific data models and architectures
• Build and deploy Python-based data pipelines and applications
• Integrate laboratory systems such as ELNs, LIMS, and other scientific platforms
• Develop data visualization tools and scientific applications
• Work with AI/ML teams to operationalize advanced scientific use cases
• Prototype solutions, demonstrate outcomes, and drive user adoption
• Influence future product direction through direct customer feedback
• Travel locally to customer sites on a regular basis across the Boston area and wider region as required

We're particularly interested in people who have:

• Strong life sciences domain expertise across drug discovery, preclinical development, CMC, quality, or manufacturing
• Experience designing scalable data architectures and data models
• A track record of delivering AI, machine learning, analytics, or data-driven solutions in cloud environments
• Experience working directly with scientific stakeholders
• Excellent communication skills and the ability to simplify complex concepts for technical and non-technical audiences
• A proactive, self-starting approach and comfort working in ambiguous environments

Why consider this opportunity?

You'll join a business operating at the forefront of AI and scientific innovation, working on complex challenges that directly impact how new therapies are discovered and developed. The environment is entrepreneurial, highly technical, and offers significant opportunity to influence products, customers, and the future direction of scientific AI.

If you have a passion for scientific data, enjoy solving difficult problems, and want to help shape the next generation of AI-enabled life sciences platforms, we'd love to hear from you.