Senior Solutions Architect

SciPro; Birmingham; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading scientific technology company in Birmingham is seeking a Senior Scientific Solutions Architect to join their team. This hands-on, highly technical role involves collaborating with top global biopharma on complex data challenges, influencing customer outcomes, and shaping product direction. Ideal candidates should hold a PhD or MSc and have proven experience in data architecture and integration. This is a unique opportunity to drive innovation in AI applications for biopharma R&D.

Qualifications

• PhD or MSc or significant experience in pharma/biotech.
• Strong experience in data architecture and integration.
• Comfortable in complex enterprise environments.

Responsibilities

• Act as a trusted technical advisor for global pharma organisations.
• Design and deliver solutions to turn complex scientific data into AI-ready assets.
• Own technical strategy across the customer lifecycle.

Skills

Data architecture

Python

Communication

Stakeholder management

Education

PhD or MSc in a relevant scientific field

Tools

Cloud data platforms

Job description

Senior Scientific Solutions Architect – Scientific Data & AI

SciPro is partnered with a category‑leading Scientific Data & AI platform that’s redefining how the world’s top biopharma companies centralise, structure, and unlock scientific data across the R&D lifecycle.

As they continue to scale rapidly toward their next growth phase, they’re looking to add a Senior Scientific Solutions Architect to their UK team.

This is a hands‑on, highly technical role operating at the intersection of science, data architecture, and customer impact. You’ll act as a trusted technical advisor to global pharma organisations, designing and delivering solutions that turn complex, fragmented scientific data into AI‑ready assets.

What makes this role different :

• Work with top‑100 global pharma on real, non‑greenfield data challenges
• Stay hands‑on technically (Python, data pipelines, modern cloud data platforms)
• Own technical strategy across the customer lifecycle – discovery, design, adoption, and expansion
• High visibility, senior role with influence on both customer outcomes and product direction

Ideal background :

• Scientific foundation (PhD / MSc or significant pharma / biotech experience)
• Strong experience in data architecture, integration, and pipelines
• Comfortable operating in complex enterprise environments
• Confident communicator with stakeholders, without being sales‑led

If you enjoy solving complex scientific data problems at scale and want to help shape how AI is applied across biopharma R&D, this is a rare opportunity.

📩 Get in touch to learn more or apply confidentially.