Data Engineer, Data Scientist

• Understand the challenges and objectives of data use and perform feasibility tests to scientifically validate that the data meet the intended goals.
• Design and implement natural language processing pipelines to enrich patient data from unstructured or semi-structured sources and provide quality indicators for the results.
• Tune and optimize machine learning algorithms.
• Contribute to the development and evaluation of tools for patient data exploration and for mapping to standard vocabularies (e.g., SNOMED CT).
• Monitor technological developments and participate in defining data best practices across the group.
• Help implement data operational best practices within the data platform.
• As part of your duties, you may process personal health data. You will be responsible for ensuring the confidentiality and integrity of these data in compliance with ISO 27001.

Requirements

• Master’s degree (Bac+5) in Computer Science, Data Science, Statistics, or equivalent.
• Significant experience (minimum 2 years) in natural language processing, ideally in healthcare.
• Proficiency in methods for generalizing and validating results.
• Project experience using data science languages such as Python or R, including use of machine learning libraries like PyTorch, Transformers, or Unsloth.
• Strong SQL skills.
• Knowledge of Health Data Warehouses (EDS) or Health Data Platforms (PDS) is a plus.
• Experience implementing data standards and models such as the OMOP Common Data Model, as well as mapping support tools.
• Recognized for rigor, analytical ability, and attention to detail.
• Autonomous, curious, and proactive, continually keeping up with technology trends; you enjoy extracting insights from data using the latest technologies and methods.
• Enjoys sharing knowledge widely to improve colleagues’ practices.

Core Competencies

Demonstrates expertise in Natural Language Processing and Machine Learning, with a strong focus on healthcare data applications. Proficient in data validation, SQL, and implementing data standards while ensuring compliance with data privacy regulations.

Highest-signal resume keywords

• Natural Language Processing
• Machine Learning Algorithms
• Python Programming
• SQL Proficiency
• Data Standards Implementation

ATS Optimization Keywords

Hard Skills

• Natural Language Processing
• Machine Learning
• Data Validation Methods
• Python
• R
• SQL
• Data Exploration Tools
• OMOP Common Data Model
• Health Data Warehouses
• Data Mapping Support Tools

Soft Skills

• Analytical Ability
• Attention to Detail
• Autonomous
• Curious
• Proactive

Industry Keywords

• Healthcare Data
• Patient Data
• Data Best Practices
• Data Operational Best Practices
• Data Privacy

Tools & Technologies

• PyTorch
• Transformers
• Unsloth
• Health Data Platforms
• ISO 27001 Compliance