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- Tasks: Lead the development of ontologies and taxonomies for pharmaceutical data integration.
- Company: Join a dynamic data team driving innovation in the pharmaceutical industry.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of AI-driven drug development and make a real impact.
- Qualifications: Experience with ontology design, semantic standards, and data governance tools required.
- Other info: Collaborate across teams to enhance scientific work and business objectives.
The predicted salary is between 48000 - 72000 £ per year.
Pharmaceutical Data Ontology & Taxonomy Consultant is required to join a data team working on a large scale data programme, and to lead ontology and taxonomy of pharmaceutical data across the programme.
You will be responsible for:
- Building and maintaining ontologies and taxonomies that will support data integration and organise scientific and operational data.
- Turning scientific and technical information into structured formats that support analytics and decision-making.
- Applying industry standards to improve data interoperability and to align internal data with external standards.
- Supporting the development of knowledge graphs that show relationships between different types of data.
- Providing training and promoting the use of semantic tools across the organisation.
- Collaborating with teams across the business to gather needs and ensure ontology solutions support scientific work and business goals.
- Promoting the use of ontologies to enable AI-driven drug development.
Required and experience and skills:
- Experience in designing and managing ontologies and taxonomies for pharmaceutical data.
- Broad experience with various tools for example Protégé, Neo4j, Semaphore or similar.
- Semantic standards: RDF, OWL, SKOS, SHACL.
- Knowledge graphs and graph databases experience.
- Experience in managing metadata, vocabularies, and data quality.
- Data Governance tools like Collibra or IDERA or similar.
- Good knowledge of latest trends in AI, large language models (LLMs), and automation.
Pharmaceutical Data Ontology & Taxonomy Consultant employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pharmaceutical Data Ontology & Taxonomy Consultant
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Protégé and Neo4j. Having hands-on experience or even completing a project using these tools can set you apart from other candidates.
✨Tip Number 2
Stay updated on the latest trends in AI and large language models. Being able to discuss how these technologies can enhance drug development during your interview will demonstrate your passion and knowledge in the field.
✨Tip Number 3
Network with professionals in the pharmaceutical data space. Attend relevant conferences or webinars where you can meet industry experts and learn about their experiences with ontologies and taxonomies.
✨Tip Number 4
Prepare to discuss real-world examples of how you've applied semantic standards like RDF and OWL in previous roles. This will show your practical understanding and ability to implement these concepts effectively.
We think you need these skills to ace Pharmaceutical Data Ontology & Taxonomy Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in designing and managing ontologies and taxonomies specifically for pharmaceutical data. Use relevant keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, emphasise your experience with tools like Protégé and Neo4j, as well as your knowledge of semantic standards such as RDF and OWL. Explain how your skills can contribute to the company's goals in AI-driven drug development.
Showcase Relevant Projects: If you have worked on projects involving knowledge graphs or data governance tools, be sure to include these in your application. Describe your role and the impact of your work to demonstrate your expertise.
Highlight Collaboration Skills: Since the role involves collaborating with various teams, mention any previous experiences where you successfully gathered needs and provided solutions that supported scientific work and business objectives. This will show your ability to work effectively within a team.
How to prepare for a job interview at Careerwise
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like Protégé, Neo4j, and Semaphore. Highlight specific projects where you successfully designed and managed ontologies and taxonomies, as this will demonstrate your hands-on expertise.
✨Understand Industry Standards
Familiarise yourself with semantic standards such as RDF, OWL, SKOS, and SHACL. Be ready to explain how you've applied these standards in previous roles to improve data interoperability and support analytics.
✨Discuss Knowledge Graphs
Prepare to talk about your experience with knowledge graphs and graph databases. Share examples of how you've developed knowledge graphs that illustrate relationships between different types of data, as this is crucial for the role.
✨Emphasise Collaboration Skills
Since the role involves working with various teams, be sure to highlight your collaboration skills. Discuss how you've gathered needs from different stakeholders and ensured that ontology solutions align with both scientific work and business goals.