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Data Scientist

horaizon Netherlands
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AI Summary

We are looking for a Data Scientist to build and improve data pipelines and analytics workflows. The role involves working with varied data types, developing backend services, and visualizing results. A strong interest in biology and/or healthcare is required.

Key Highlights
Build and improve data pipelines and analytics workflows
Work with varied data types
Develop backend services
Key Responsibilities
Build and improve data pipelines and analytics workflows
Automate processing steps and tune them for performance
Develop backend services (REST APIs) and integrate data from different systems
Technical Skills Required
Python Django SQL
Benefits & Perks
Competitive salary
Room to grow with coaching and training
Assistance with residence permit and visa
Nice to Have
Deep learning for sound, image or video analysis
Bioinformatics experience
Background in Computer Science, Engineering, Software Engineering, or AI

Job Description


About the job

Data Scientist | Full-time

HORAIZON Technology BV is a biomedical AI company that turns complex biological data into practical insight. Our platforms support near real-time analysis and decision support across the microbiome and a growing range of other omics modalities. We pair modern machine learning with scalable pipelines and clear visualisation, so that our customers can move from measurement to action faster.

🌐 Website: https://horaizon.ai

🔗 LinkedIn: https://www.linkedin.com/company/horaizon-technology

The role

We are growing and we are looking for a Data Scientists who likes to build and improve things from end to end. You will own development projects and data work, help shape new capabilities rather than only maintaining what already exists, and work in a small team where learning is fast and your impact is visible.

The data we work with is unusually varied. In any given week you might touch signals and sound, images and video, free text, and molecular data spanning genetics, epigenetics, the microbiome, proteomes and metabolomes. Each comes with its own structure and dimensionality and part of the fun is finding methods that actually fit the problem in front of you. Clear visualisation of what the data is telling us is core to the job, not an afterthought.

What you will do

  • Build and improve data pipelines and analytics workflows
  • Automate processing steps and tune them for performance
  • Develop backend services (REST APIs) and integrate data from different systems
  • Work with databases and build internal or client-facing web applications
  • Support modelling and analysis across varied data types, from omics to sound, image and video
  • Visualise results and communicate insights clearly

What we offer

  • Competitive salary, matched to your experience and education
  • A role with real ownership and fast learning in a dynamic environment
  • Diverse projects where your code goes into production and creates value
  • Room to grow with coaching and training
  • Assistance with residence permit and visa
  • A friendly and collaborative team

Requirements

We care more about ability and curiosity than the exact line on your diploma. Talented bachelor's graduates, master's graduates and PhDs are all welcome and we match the role and salary to what you bring.


Must have

  • Strong interest in biology and/or healthcare
  • Experience with Python and backend development (e.g. REST, Django)
  • A degree with a quantitative focus (Mathematics, Computer Science or similar)
  • AI / ML experience (e.g. PyTorch, scikit-learn)

Big plus (not required)

  • Deep learning for sound, image or video analysis
  • Bioinformatics experience
  • Background in Computer Science, Engineering, Software Engineering, or AI

Who you are

  • You like taking responsibility and delivering high-quality results
  • You enjoy solving problems and improving systems step by step
  • You can work independently and also collaborate closely with a team
  • You like building things that surprise customers in a good way

  • Employment type: Full-time - onsite work

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