Senior Solutions Architect

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

Job summary

A leading Scientific Data & AI platform in the UK seeks a Senior Scientific Solutions Architect to engage with global pharma on complex data challenges. In this high-visibility, hands-on role, you will design solutions that transform fragmented scientific data into AI-ready assets. The ideal candidate holds a PhD or MSc and has strong experience in data architecture and pipelines. Join us to reshape how AI is applied across biopharma R&D, influencing both product direction and customer outcomes.

Qualifications

• Strong experience in data architecture, integration, and pipelines.
• Comfortable operating in complex enterprise environments.
• Confident communicator with stakeholders without being sales-led.

Responsibilities

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

Skills

Data architecture

Integration and pipelines

Python

Communication with stakeholders

Education

PhD / MSc in a scientific field

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.