Senior Solutions Architect

SciPro; Leeds; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading Scientific Data & AI platform based in the UK is seeking a Senior Scientific Solutions Architect to work closely with top global pharma companies. The role involves addressing complex data challenges and delivering AI-ready solutions. Ideal candidates will have a strong background in data architecture and integration, with a PhD or significant experience in pharma or biotech. This position offers high visibility and influence over customer outcomes and product direction.

Qualifications

• Strong experience in data architecture, integration, and pipelines.
• Comfortable operating in complex enterprise environments.
• Confident communicator with stakeholders.

Responsibilities

• Act as a trusted technical advisor to global pharma organisations.
• Design and deliver solutions for scientific data.
• Own technical strategy across the customer lifecycle.

Skills

Data architecture

Integration

Communication

Python

Education

PhD or MSc in a relevant field or significant pharma/biotech experience

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.