Senior-Principal Scientific Data Architect in London

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Job Description

Shape the Future of Scientific AI - Scientific Data Architects - London / Cambridge / Slough / Macclesfield

SciPro is partnered with a fast-scaling health tech company leading the scientific AI revolution. Backed by top-tier investors and integrated with the world’s leading cloud and AI infrastructure, their platform is transforming how scientific data is harnessed across the life sciences sector.

Their platform turns fragmented lab data into AI-ready, interoperable assets, accelerating discovery and development, positioning itself as the backbone of data-driven science in some of the most innovative Pharma giants globally.

I am seeking highly experienced hands-on and client-facing individuals to be onsite in London or Cambridge, to engage in unique pharma parterships and and reshape 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, Data Integration, 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
• You thrive in a fast-moving and purpose-driven environment of continuous learning and development, collaboration and high-impact

You Will:

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

Location: 2-4 days a week onsite

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

We cannot offer visa sponsorship for this role.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.