Ontologist

Ontologist

Southend-on-Sea Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Educate and mentor peers on Linked Data and master data standards.
  • Company: Join a Large Global IT Services giant known for reliability and flexibility.
  • Benefits: Enjoy a great bonus structure and a positive work culture.
  • Why this job: Make an impact in healthcare by developing ontologies and knowledge graphs.
  • Qualifications: Advanced skills in RDF, OWL, and semantic modeling required.
  • Other info: Facilitate workshops and collaborate with industry experts.

The predicted salary is between 48000 - 84000 £ per year.

  • 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.

  • 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.

Employer details : The prospective employer is the Large Global IT Services giant. Provides opportunity for better performance, Reliability, Security, and Flexibility with good Bonus and Benefits Structure and have a good work Culture that everyone loves to work with.

Ontologist employer: Avance Consulting Services

As a leading global IT services giant, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer extensive training and mentorship opportunities in cutting-edge technologies like Linked Data and semantic modeling, ensuring that our Ontologists can thrive and grow in their careers. Our competitive bonus and benefits structure, combined with a commitment to reliability and flexibility, makes us an exceptional employer for those seeking meaningful and rewarding work in the pharmaceutical domain.
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Contact Detail:

Avance Consulting Services Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Ontologist

✨Tip Number 1

Familiarize yourself with the latest trends and best practices in Linked Data and semantic modeling. This will not only enhance your knowledge but also demonstrate your commitment to staying current in the field during interviews.

✨Tip Number 2

Engage with online communities and forums related to RDF, OWL, and ontology development. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals for job openings.

✨Tip Number 3

Prepare to discuss specific projects where you've applied your skills in creating knowledge graphs or developing ontologies. Real-world examples will help you stand out and show your practical experience.

✨Tip Number 4

Highlight your experience with tools like Protégé or Altair Knowledge Studio in conversations. Being able to articulate how you've used these tools effectively will showcase your technical proficiency and readiness for the role.

We think you need these skills to ace Ontologist

Semantic Modeling
RDF (Resource Description Framework)
OWL (Web Ontology Language)
SHACL (Shapes Constraint Language)
Ontology Development in Protégé or Altair Knowledge Studio
Workshop Facilitation
Knowledge Elicitation
Business Information Modeling
Data Quality Management
Interoperability Standards
Knowledge Graph Creation
SPARQL (SPARQL Protocol and RDF Query Language)
Linked Data Concepts
Triple Store Interaction
Microsoft 365 Proficiency
Power Query Editor Skills
FAIR Data Principles Expertise
Healthcare and Pharmaceutical Data Modeling

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly understand the responsibilities of an Ontologist. Familiarize yourself with Linked Data, semantic modeling, and the specific technologies mentioned in the job description.

Highlight Relevant Experience: In your application, emphasize your experience with RDF, OWL, SHACL, and ontology development. Provide specific examples of projects where you have used these skills, especially in the pharmaceutical domain.

Showcase Your Communication Skills: Since the role involves educating and mentoring others, highlight your ability to facilitate workshops and discussions. Mention any tools you’ve used for collaboration, particularly within Microsoft 365.

Demonstrate Knowledge of FAIR Principles: Include your understanding and application of FAIR data principles in your previous work. This will show that you are aligned with the employer's focus on data quality and interoperability.

How to prepare for a job interview at Avance Consulting Services

✨Showcase Your Semantic Modeling Skills

Be prepared to discuss your experience with semantic modeling, RDF, OWL, and SHACL. Bring examples of your previous work, especially any ontologies you've developed in Protégé or Altair Knowledge Studio.

✨Demonstrate Your Workshop Facilitation Experience

Highlight your ability to conduct workshops and facilitate discussions with subject matter experts. Share specific instances where you successfully elicited knowledge and captured insights during collaborative sessions.

✨Discuss Your Data-Driven Approach

Emphasize your commitment to a data-driven approach and how you've ensured data quality for interoperability in pharmaceutical domains. Be ready to provide examples of how you've applied this in past projects.

✨Familiarize Yourself with FAIR Principles

Understand the FAIR data principles and be prepared to discuss their application in healthcare and pharmaceutical data models. This will show your alignment with industry standards and your expertise in the field.

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