Data Scientist M/V/X

Beschrijving van het bedrijf

we help care institutions manage high-quality medical records more efficiently. Our solutions are powered by cutting-edge Natural Language Processing (NLP), combining machine learning, LLMs, terminological resources, and intelligent interfaces to transform unstructured medical data into actionable insights. We are a fast-growing, mission-driven company with strong roots in the Belgian market and, recently, in France. Our office is located in the heart of Brussels (EU district - Merode Metro Station).

Beschrijving van de functie

About the job

As a Data Scientist at EMS Health, your mission is to unlock the full potential of healthcare data to support operational decision-making and product innovation. You will contribute hands-on to the evolution of our AI products, with a strong focus on experimentation, evaluation, and pragmatic delivery. The role combines applied ML, data preparation, and model evaluation, with increasing exposure to modern architectures and LLMs used in production-grade workflows.

Key Objectives 

• Help identify high-impact use cases where data science can bring measurable value to our internal processes, clients, and partners. 
• Contribute to data science initiatives supporting our clinical AI products and long-term innovation. 
• Help develop a realistic and agile R&D plan that balances short-term deliverables with long-term research goals. 
• Ensure that all models and analytical tools are developed with scalability, interpretability, and clinical relevance in mind. 
• Collaborate with cross-functional teams to translate business needs into data-driven solutions. 

 

Your responsibilities will be

• Design, train & improve ML models for clinical NLP tasks ( e.g., entity recognition, relation extraction, and entity linking) 
• Analyze structured and unstructured healthcare data to identify trends, anomalies, and opportunities for improvement. 
• Prepare, clean, and maintain training and evaluation datasets, including re-annotation and quality control.  Build and maintain robust evaluation frameworks (offline & client facing) to ensure performance & non-regression 
• Integrate LLMs in clinical AI workflows for validation, annotation & RAG pipelines 
• Help productionize LLM-based tools through fine-tuning, distillation & quantization to meet latency and cost constraints 
• Contribute to the automation of manual tasks in cross-functional teams

Jouw profiel

Who you are 

• Master's degree in Data Science, Computer Science, Statistics, or a related field. 
• Prior experience in data science, applied NLP or ML role. 
•  Strong knowledge of Python and common ML libraries (e.g., PyTorch, Hugging Face, vLLMs) and good working knowledge of git, linux 
•  Experience working with real-world data, ideally in healthcare or life sciences ; 
• Hands-on attitude with analytical mindset & strong problem-solving skills, focused on Agile methodology and lean management ; 
• Comfortable working both independently and in a collaborative team environment. 

• Fluent in English and also either French or Dutch 

  Note: If you believe you have the skills and mindset to succeed in this role, even if you don't meet every single requirement, we encourage you to apply and tell us why your experience is relevant. 

  Bonus points for 

• Experience with terminology mapping, or medical data. 
•  Familiarity with workflow orchestration tools (e.g., Prefect, Airflow). 
• Knowledge of data versioning (e.g., DVC)

Diploma

• Master

Taalvaardigheden

• Engels (vereist)

  • Begrijpen : Vaardig - (C1)
  • Schrijven : Vaardig - (C1)
  • Lezen : Vaardig - (C1)
  • Spreken : Vaardig - (C1)

• Frans (vereist)

  • Begrijpen : Onafhankelijk + (B2)
  • Schrijven : Onafhankelijk + (B2)
  • Lezen : Onafhankelijk + (B2)
  • Spreken : Onafhankelijk + (B2)

Voordelen van de betrekking

What's in it for you 

• Work with state-of-the-art technologies in a fast-evolving field. 
• Join a company with a strong technological vision and a meaningful mission. 
• Be part of a dynamic, transparent, and welcoming team.
•  Enjoy flexible working conditions (hours and location). 
• Receive a competitive salary with attractive benefits: company car, home working allowance, meal vouchers, health insurance, and 12 extra days off (¿réduction du temps de travail¿).

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