Senior-Principal Scientific Data Architect

SciPro Cambridge, England, United Kingdom – Shape the Future of Scientific AI – Scientific Data Architects – Cambridge / London.

SciPro is partnered with a fast-scaling health‑tech company that leads the scientific AI revolution. Backed by top‑tier investors and integrated with the world’s leading cloud and AI infrastructure, their platform transforms how fragmented lab data is harnessed across the life sciences sector. The platform turns fragmented lab data into AI‑ready, interoperable assets, accelerating discovery and development for some of the most innovative Pharma giants globally.

We are seeking highly experienced, hands‑on, client‑facing individuals to work onsite in London or Cambridge, engaging in unique pharma partnerships and reshaping how scientists generate insights and bring therapies to patients faster.

You Should Have:

• PhD or MSc with 5+ years of Pharma/Biotech industry experience (Senior/Principal levels).
• Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain.
• Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews).
• A track record of architecting productionised scientific solutions, integrated with AI/ML and APIs for Biopharma end users.
• Strong communication skills to engage across leadership, scientific and technical teams, delivering implementation and demos; client/customer facing experience is highly advantageous.
• Thrives in a fast‑moving, purpose‑driven environment of continuous learning and development, collaboration and high‑impact.

You Will:

• Collaborate with scientists and stakeholders in global biopharma to build extensible and scalable data models and intelligent pipelines.
• Translate lab (LIMS/ELN) and scientific workflows into cloud‑native, production‑ready tools.
• Own, prototype and implement these solutions using Python, APIs and AWS.
• Collaborate with Scientists, Product, Engineers and AI teams to prioritise pain points and ensure rapid product development.
• Hold visibility and influence across both customer environments and the product roadmap.

Location: 4 days a week onsite in London or Cambridge.

Benefits and Package: Highly competitive salary and equity + benefits.

We cannot offer visa sponsorship for this role.