Data Engineer, Data Scientist

Jobtailor; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Jobtailor in Paris seeks a proficient data scientist focusing on healthcare data, NLP pipelines, and ML model optimization. You will validate data, enrich patient records, and implement robust data practices across the platform.

The role emphasizes building explorative data tools and maintaining compliance with ISO 27001 while collaborating across teams to translate insights into actions.

Qualifications

• Master’s degree 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 Python or R including ML libraries like PyTorch or Transformers.
• 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 CDM.
• Autonomous, curious, and proactive with strong attention to detail.
• Enthusiasm for sharing knowledge to improve colleagues’ practices.

Responsabilités

• Understand the challenges and objectives of data use and validate feasibility scientifically.
• Design and implement NLP pipelines to enrich patient data and provide quality indicators.
• Tune and optimize machine learning algorithms.
• Contribute to tools for patient data exploration and mapping to standard vocabularies (e.g., SNOMED CT).
• Monitor technological developments and define data best practices across the group.
• Help implement data operational best practices within the data platform.
• Process personal health data while ensuring confidentiality and integrity per ISO 27001.

Connaissances

Natural Language Processing

Machine Learning

Python Programming

SQL Proficiency

Data Validation Methods

Healthcare Data

Formation

Master’s degree (Bac+5) in Computer Science, Data Science, Statistics, or equivalent

Outils

PyTorch

Transformers

Unsloth

Health Data Platforms

OMOP Common Data Model

ISO 27001 Compliance

Description du poste

• 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