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- Tasks: Join a dynamic team to build knowledge graph systems for a major pharma company.
- Company: Work with a leading pharmaceutical company focused on innovative smart manufacturing solutions.
- Benefits: Enjoy a hybrid work model and the chance to shape the future of healthcare data.
- Why this job: Be at the forefront of semantic modeling and make a real impact in the pharma industry.
- Qualifications: Advanced skills in RDF, OWL, and ontology development are essential; experience with knowledge graphs is a plus.
- Other info: This is a 6-month contract role with opportunities for mentorship and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Role: Ontologist Location: London (Hybrid) Duration: 6 Months Our customer, a major pharma company, is building Knowledge graph systems as part of their Smart manufacturing 2030 vision. This Role is for an Ontologist to be part of the core team to deliver multiple knowledge graph uses cases in an Agile squad model. Key Responsibilities: Educate and mentor a team and peers on the practical use and differentiating value of Linked Data and standards for master data & reference data. Advanced skills in semantic modeling, RDF, OWL, SHACL, and ontology development in Protégé or Altair Knowledge Studio. Conducting workshops and Facilitate whiteboarding sessions with business subject matter experts to elicit knowledge Develop comprehensive business information models and ontologies that capture industry-specific concepts, including CMC, Clinical, and Operations data. Key Skills Drive data driven approach and data quality for interoperability across pharmaceutical domains Formalize data models in RDF as OWL and SHACL ontologies Demonstrated experience creating knowledge graphs with semantic RDF technologies (e.g. Anzo, Neo4j) and testing models with real data. Highly proficient with RDF, SPARQL, Linked Data concepts, and interacting with triple stores. Highly proficient at facilitating, capturing, and organizing collaborative discussions through tools using Microsoft 365, power query editor, Expertise in FAIR data principles and their application in healthcare and pharmaceutical data models. TPBN1_UKTJ
Ontologist employer: Maclean Moore Ltd
Contact Detail:
Maclean Moore Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ontologist
✨Tip Number 1
Familiarize yourself with the latest trends in semantic modeling and knowledge graphs. Being well-versed in RDF, OWL, and SHACL will not only boost your confidence but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Engage with online communities or forums focused on Linked Data and ontology development. Networking with professionals in these spaces can provide insights into industry standards and practices that are highly valued by employers.
✨Tip Number 3
Prepare to showcase your experience with tools like Protégé or Altair Knowledge Studio. Having practical examples of your work with these tools can set you apart and highlight your hands-on expertise.
✨Tip Number 4
Brush up on your facilitation skills, especially in conducting workshops and whiteboarding sessions. Being able to effectively communicate and collaborate with subject matter experts is crucial for this role.
We think you need these skills to ace Ontologist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and skills required for the Ontologist position. Familiarize yourself with concepts like Linked Data, RDF, OWL, and semantic modeling, as these will be crucial in your application.
Tailor Your CV: Customize your CV to highlight relevant experience in ontology development, knowledge graphs, and any specific tools mentioned in the job description, such as Protégé or Neo4j. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your ability to educate and mentor others. Share examples of past experiences where you facilitated workshops or collaborated with subject matter experts.
Highlight Your Data-Driven Approach: In your application, emphasize your experience with data quality and interoperability in pharmaceutical domains. Discuss how you've applied FAIR data principles in previous projects to show your alignment with the company's goals.
How to prepare for a job interview at Maclean Moore Ltd
✨Showcase Your Semantic Modeling Skills
Be prepared to discuss your experience with semantic modeling, RDF, OWL, and SHACL. Highlight specific projects where you've successfully applied these technologies, as this will demonstrate your expertise and relevance to the role.
✨Prepare for Collaborative Discussions
Since the role involves facilitating workshops and whiteboarding sessions, practice how you would lead a discussion with business subject matter experts. Think about how to elicit knowledge effectively and organize collaborative discussions using tools like Microsoft 365.
✨Demonstrate Your Knowledge Graph Experience
Be ready to share examples of knowledge graphs you've created using semantic RDF technologies. Discuss the challenges you faced and how you tested your models with real data, as this will show your practical experience in the field.
✨Understand FAIR Data Principles
Familiarize yourself with FAIR data principles and be prepared to discuss their application in healthcare and pharmaceutical data models. This knowledge will be crucial in demonstrating your alignment with the company's goals and vision.
