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- Tasks: Design and maintain ontologies to enhance data integration and quality across PT&D.
- Company: Join a leading organisation focused on innovative data solutions in London.
- Benefits: Competitive daily rate, flexible contract, and opportunities for professional growth.
- Why this job: Make a real impact in AI-driven drug development and data governance.
- Qualifications: Experience in ontology design and strong collaboration skills with scientific teams.
- Other info: Dynamic role with opportunities to influence data strategy and innovation.
The predicted salary is between 46800 - 78000 £ per year.
Contract – 6 Months+ Rate - £650/Day Outside IR35 Location – London – Occasional Travel
About the role
Join the PT&D Governance team as part of the growing Client's capability. Play a key role in strengthening how PT&D understands, governs, and uses its data. Act as a senior individual contributor with autonomy and influence across science, data, and technology. Enable improved data quality, interoperability, and AI readiness across PT&D.
What you'll be responsible for:
- Design, implement, and maintain ontologies and taxonomies to support data integration across PT&D.
- Collaborate with data scientists, chemists, and biologists to ensure ontologies meet cross-functional scientific needs.
- Translate complex scientific and technical concepts into structured data formats for data models and real-time analytics.
- Partner with information architects and technical teams across the organisation.
- Define and promote data interoperability standards including RDF, OWL, SKOS, and SHACL.
- Enable seamless data exchange across PT&D, wider AZ business functions, and external partners.
- Ensure high data quality and consistency through validation rules and ontology-driven quality checks.
- Design, build, maintain, and visualise ontologies using Protégé, RDF/GitHub, and Neo4j.
- Apply enterprise data modelling and cataloguing tools such as IDERA E/R Studio and Collibra.
- Develop and maintain taxonomies, controlled vocabularies, and collections using Progress Semaphore.
- Provide training and ongoing support to maximise adoption of Client ontology tools and platforms.
- Help solve complex data challenges using ontology-based solutions.
- Support the development of knowledge graphs and graph databases within PT&D.
- Work closely with stakeholders to gather requirements and align ontological solutions with business and scientific goals.
- Advocate for the use of ontologies in AI-powered drug development.
- Partner with the Data Governance Lead to evolve the ontology strategy and demonstrate value from data.
- Stay informed on industry-standard ontologies, reviewing and aligning internal frameworks accordingly.
- Keep pace with innovation in automation and large language models (LLMs), adapting approaches as responsibilities evolve.
Please share your CVs.
Ontology Specialist employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ontology Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the ontology and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your ontology knowledge and real-world applications. Be ready to discuss how you've tackled complex data challenges in the past and how you can bring that experience to the role.
✨Tip Number 3
Showcase your skills with a portfolio! If you've designed or implemented ontologies before, create a visual representation of your work. This will help potential employers see your capabilities in action.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Ontology Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Ontology Specialist role. Highlight relevant experience with ontologies, taxonomies, and data integration. We want to see how your skills align with our needs!
Showcase Collaboration Skills: Since you'll be working with data scientists, chemists, and biologists, it's crucial to showcase your collaboration skills. Share examples of how you've worked in cross-functional teams to achieve common goals.
Highlight Technical Proficiency: Mention your experience with tools like Protégé, RDF/GitHub, and Neo4j. We love seeing candidates who are comfortable with enterprise data modelling and can demonstrate their technical prowess in their applications.
Keep It Clear and Concise: When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts, as this reflects your ability to translate scientific ideas into structured data formats. Don't forget to apply through our website!
How to prepare for a job interview at Careerwise
✨Know Your Ontologies
Make sure you brush up on the latest trends and standards in ontologies, especially RDF, OWL, and SKOS. Be ready to discuss how you've used these in past projects and how they can enhance data quality and interoperability.
✨Showcase Collaboration Skills
Since this role involves working with data scientists, chemists, and biologists, prepare examples of how you've successfully collaborated across different teams. Highlight your ability to translate complex concepts into structured formats that meet diverse scientific needs.
✨Demonstrate Technical Proficiency
Familiarise yourself with tools like Protégé, Neo4j, and IDERA E/R Studio. Be prepared to discuss your experience with these tools and how you've used them to design and maintain ontologies or taxonomies in previous roles.
✨Stay Current with Industry Innovations
Keep up-to-date with the latest advancements in AI and automation, particularly in relation to ontology applications. Be ready to share your thoughts on how these innovations can be leveraged in drug development and data governance.