Head of Data (Life Sciences/AI)

TL;DR

Head of Data (Life Sciences/AI): Architecting the foundational knowledge layer for modern scientific modeling, focusing on structuring complex, real-world data into scalable and intelligent systems. Focus on designing modeling ontologies, enabling AI-driven workflows, and ensuring data traceability across scientific and engineering teams.

Location: Flexible hybrid working – split your time between home and our London office

Company

hirify.global is transforming pharmaceutical R&D through cutting-edge modeling, simulations, and data integration with its platform, ModelFlow.

What you will do

• Design the scientific data layer, structuring core domains like molecules, processes, equipment, and experimental data.
• Define modular and scalable modeling ontologies to support workflows, simulations, AI agents, and data integration.
• Shape data structures to power workflow automation, recommendation systems, and audit trails, enabling AI and traceability.
• Collaborate closely with engineering, product, ML, and scientific users to align business needs and modeling semantics.
• Define platform-wide standards and conventions that support both out-of-the-box and customer-specific data models.

Requirements

• 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.
• English: B2 required.

Nice to 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.

Culture & Benefits

• Flexible hybrid working – split your time between home and our London office.
• Generous time off – 26 days of annual leave plus flexible bank holidays.
• Access to modern workspace perks, including collaborative spaces and refreshments.
• Competitive employer pension contributions to help plan for the future.
• Participation in our Employee Incentive Plan (Equity incentives).