Head of Data

We’re hiring a Head of Data to architect the foundational knowledge layer of modern scientific modeling. This is a strategic leadership role for someone who thrives on structuring complex, messy, real-world data into scalable and intelligent systems that can drive both science and software forward. About PolyModels Hub PolyModels Hub is transforming pharmaceutical R&D through cutting-edge modeling, simulations, and data integration. Our platform, ModelFlow, empowers scientists to accelerate development timelines, optimize processes, and make smarter decisions—combining mechanistic models, AI, and workflow automation into one unified environment. We are growing fast and looking for passionate individuals to help us deliver lasting impact to our customers and scale our platform globally.

Your Responsibilities Design the scientific data layer — structure core domains like molecules, processes, equipment, and experimental data. Define modeling ontologies — create modular, scalable ontologies to support modeling workflows, simulations, AI agents, and data integration. Enable AI and traceability — shape the data structures that power workflow automation, recommendation systems, and audit trails. Bridge teams — work closely with engineering, product, ML, and scientific users to align business needs and modeling semantics. Scale a platform-wide system — define standards and conventions that support both out-of-the-box and customer-specific data models. What We’re Looking For 7+ years experience in data modeling, semantic architecture, or ontology engineering — ideally with real-world R&D, scientific, or enterprise complexity. Expertise in designing scalable, extensible knowledge systems across structured, unstructured, and metadata-heavy environments. Demonstrated success working on data systems that integrate across multiple domains and user groups. Hands-on experience designing or implementing knowledge graphs, domain-specific schemas, or structured data APIs. Strong systems thinking, with the ability to collaborate across technical, product, and scientific contexts. Technical fluency in Python, graph models, or LLM/AI-integrated data frameworks is a strong plus. Bonus If You Have Experience in modeling scientific or industrial data domains (e.g., formulation, scale-up, analytics, process development). Knowledge of data systems aligned with compliance standards like GxP, ISO, or FDA/EMA expectations. Background designing tools for data discovery, lineage, or semantic search. Interest or experience in LLM-based interaction with structured data. Why Join PolyModels Hub? Flexible hybrid working – split your time between home and our London office. Generous time off – 26 days of annual leave plus flexible bank holidays. Modern workspace perks – access to office amenities, including collaborative spaces and refreshments. Pension contributions – competitive employer contributions to help you plan for the future. Equity incentives – participation in our Employee Incentive Plan, so you can grow with the company.