Data Engineer, Data Scientist

Softway Medical Group

Data Engineer/Scientist developing data solutions to extract and manage healthcare data. Working with natural language processing and data governance while ensuring data confidentiality in a hybrid environment.

Posted 8/3/2026full-timeParis • 🇫🇷 FranceJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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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 ProcessingMachine Learning AlgorithmsPython ProgrammingSQL ProficiencyData Standards Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Natural Language ProcessingMachine LearningData Validation MethodsPythonRSQLData Exploration ToolsOMOP Common Data ModelHealth Data WarehousesData Mapping Support Tools

Soft Skills

Analytical AbilityAttention to DetailAutonomousCuriousProactive

Tools & Technologies

PyTorchTransformersUnslothHealth Data PlatformsISO 27001 Compliance

Industry Keywords

Healthcare DataPatient DataData Best PracticesData Operational Best PracticesData Privacy

Tech Stack

Tools & technologies

PythonPyTorchSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Opportunities to develop data science skills
Career development
Flexible working arrangements