Senior Solutions Architect

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

Job summary

A leading Scientific Data & AI platform is seeking a Senior Scientific Solutions Architect to join their UK team. This senior position involves working with top global pharma companies to address complex scientific data challenges. The role requires a strong scientific background, data architecture expertise, and the ability to communicate effectively with stakeholders. The candidate will design and deliver solutions that transform fragmented scientific data into AI-ready assets, making it a unique opportunity in the biopharma R&D landscape.

Qualifications

• PhD or MSc in a relevant scientific discipline or equivalent experience in pharma/biotech.
• Experience in data architecture and complex data integration.
• Ability to communicate effectively with various stakeholders.

Responsibilities

• Design and deliver solutions for complex scientific data challenges.
• Act as a trusted advisor for pharma organizations.
• Be hands-on with data pipelines and architecture.

Skills

Technical problem-solving

Data architecture

Integration experience

Communication with stakeholders

Education

PhD or MSc in a scientific field

Tools

Python

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.