Healthcare Knowledge Engineer: Ontology & Graph Architect
Healthcare Knowledge Engineer: Ontology & Graph Architect

Healthcare Knowledge Engineer: Ontology & Graph Architect

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Dyad

At a Glance

  • Tasks: Design and operationalise clinical knowledge for AI systems in healthcare.
  • Company: Exciting health-tech startup based in London with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and the chance to make a real difference.
  • Why this job: Join us to enhance healthcare delivery and efficiency through cutting-edge technology.
  • Qualifications: Bachelor's degree in Computer Science and 2+ years of relevant experience.

The predicted salary is between 36000 - 60000 £ per year.

A health-tech startup in London seeks a Knowledge Engineer to design and operationalize clinical knowledge for AI systems. You will ensure structured data integrity while engaging with customers and building ontologies and knowledge graphs.

Ideal candidates possess a bachelor's degree in Computer Science and at least 2 years of relevant experience. The role is hybrid and offers a meaningful impact on healthcare delivery and efficiency.

Healthcare Knowledge Engineer: Ontology & Graph Architect employer: Dyad

Join a dynamic health-tech startup in London that prioritises innovation and collaboration, offering a hybrid work environment that fosters creativity and flexibility. As a Knowledge Engineer, you will not only contribute to the advancement of AI in healthcare but also benefit from a culture that values professional growth and development, ensuring your skills are continuously enhanced. With a focus on making a meaningful impact on healthcare delivery, this role provides unique opportunities to engage with cutting-edge technology and shape the future of patient care.
Dyad

Contact Detail:

Dyad Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Healthcare Knowledge Engineer: Ontology & Graph Architect

✨Tip Number 1

Network like a pro! Reach out to folks in the health-tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your work with ontologies and knowledge graphs. This gives potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for those interviews! Research the company and think about how your experience aligns with their mission. We want to see you shine and make a real impact in healthcare!

✨Tip Number 4

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 Healthcare Knowledge Engineer: Ontology & Graph Architect

Ontology Design
Knowledge Graph Development
Data Integrity Management
AI Systems Integration
Customer Engagement
Bachelor's Degree in Computer Science
Relevant Experience in Healthcare Technology
Analytical Skills
Problem-Solving Skills
Communication Skills
Hybrid Work Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in designing and operationalising clinical knowledge. We want to see how your background aligns with the role of a Knowledge Engineer, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health-tech and how your skills can make a meaningful impact on healthcare delivery. We love seeing genuine enthusiasm!

Showcase Your Technical Skills: Since this role involves working with ontologies and knowledge graphs, be sure to mention any specific tools or technologies you’ve used. We’re keen to know how you’ve tackled similar challenges in the past!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Dyad

✨Know Your Ontologies

Make sure you brush up on your knowledge of ontologies and knowledge graphs. Be ready to discuss how you've designed or operationalised these in previous roles. Having specific examples will show your expertise and passion for the field.

✨Understand the Healthcare Landscape

Familiarise yourself with current trends in health-tech and how AI is being integrated into healthcare systems. This will not only help you answer questions but also allow you to ask insightful ones, demonstrating your genuine interest in the role.

✨Showcase Your Technical Skills

Prepare to discuss the technical tools and programming languages you’ve used in your past projects. Highlight any experience with data integrity and structured data management, as this is crucial for the role.

✨Engage with the Interviewers

Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the company’s vision and how they see the role evolving. This shows you’re not just looking for a job, but are genuinely interested in contributing to their mission.

Healthcare Knowledge Engineer: Ontology & Graph Architect
Dyad

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>