(Freelance) Data Scientist

Robovision; Oost-Vlaanderen; Sur place; EUR 75 000 - 110 000; Plein temps

Résumé du poste

Raiyo, a division of Robovision, seeks a Data Scientist to bridge AI development and medical device compliance in Belgium. You will transform patient and device data into robust models while ensuring audit-ready documentation and regulatory alignment.

You will collect device data, design training datasets, and collaborate across teams to deliver reliable AI solutions that support radiology workflows and patient outcomes.

Qualifications

• Master's or PhD in Computer Science, Data Science, or a related field.
• Minimum three years of experience in data science, preferably for medical devices.
• Experience with regulatory compliance and risk management is preferred.

Responsabilités

• Collect and analyse medical device data to inform model development.
• Develop and optimise AI models to improve device accuracy and reliability.
• Collaborate with engineers, regulatory specialists, and other teams.
• Support regulatory compliance and risk management activities.
• Handle patient data responsibly in line with GDPR and ethics.

Connaissances

Python

SQL

Pandas

SciPy

OpenCV

PyTorch

MDR compliance

GDPR

Machine learning

Statistical analysis

Data visualization

APIs

Data wrangling

Dimensionality reduction

Model deployment

English (fluent)

Formation

Master's or PhD in Computer Science or Data Science

Outils

Pandas

SciPy

OpenCV

PyTorch

Description du poste

About Raiyo

Raiyo, an operating division of Robovision, develops and manufactures software as medical devices (SaMD) for radiology applications that enables disease detection, segmentation, and treatment planning with the objective to support radiologists by assisting in the identification of diseases and helping medical teams make the most appropriate treatment decisions. Our first SaMD (CE-marking in process) will allow the detection and monitoring of intracranial metastases in patients with primary non-intracranial cancer.

Your role

As a Data Scientist, you will work at the intersection of AI development and medical device compliance, turning patient and device data into models that hold up in the field and under audit.

What you'll do:

• Collect and analyse medical device data. Work with patient data, device data, and other relevant sources to understand the problem space and inform model development.

• Develop and optimise AI models. Select appropriate algorithms, design training and validation datasets, and tune model performance to improve device accuracy, reliability, and, ultimately, patient outcomes.

• Collaborate across teams. Work with software development engineers, regulatory specialists, medical specialists, and colleagues in other teams to align on shared goals, and contribute realistic effort estimates for model development work.

• Support regulatory compliance and risk management. Contribute to the risk analysis of each device developed and placed on the market, together with the QA & RA manager, and contribute to the software-related records that form part of the Medical Device File.

• Handle patient data responsibly. Ensure data is collected, processed, and used in an ethical, secure, and compliant manner throughout the model development lifecycle.

Education

• Master's or PhD degree in Computer Science, Data Science, or a related field.

Experience

• A minimum of three years of experience in data science, gained through education, personal projects, or professional work.

• Professional experience in data science for medical devices is preferred, including exposure to regulatory compliance and risk management.

Skills and knowledge

• Proficiency in Python, SQL, and data manipulation tools such as Pandas, SciPy, OpenCV, and PyTorch, used to develop algorithms and perform data analysis.

• A good understanding of regulatory requirements such as the Medical Device Regulation (MDR), 21 CFR, ISO 13485, ISO/IEC 62304, and other applicable regulations.

• A basic understanding of the software development lifecycle, including requirements gathering, design, development, testing, and maintenance.

• Familiarity with machine learning algorithms, deep learning, and statistical models used to build predictive models and analyse complex datasets.

• Experience with data visualisation tools to turn complex datasets into insights that support decision-making.

• Knowledge of data cleaning and preprocessing techniques, including feature engineering, dimensionality reduction, and data normalisation.

• A good understanding of model deployment and API software interfaces.

• A strong grasp of mathematical and statistical concepts, including probability, linear algebra, and hypothesis testing, applied to data analysis and model validation.

• The ability to select appropriate datamodels and evaluation metrics for a given problem and domain.

• Strong problem-solving skills, with the ability to identify and resolve issues and bugs in data and models.

• Experience with data integration and data engineering, including data quality assessment and data profiling.

• A good understanding of regulatory and ethical considerations, such as the General Data Protection Regulation (GDPR) and HIPAA, as they apply to data handling and analysis.

• Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams, including engineers, domain experts, and business stakeholders.

• Fluency in English is required; Dutch and/or French are a plus.

• You’re based in Belgium.

We Offer

Joining Robovision means securing a front-row seat in Belgium's most ambitious industrial AI scale-up, where the environment is as dynamic as the technology we develop. We provide a sophisticated entrepreneurial ecosystem designed for high-impact engineers, offering unmatched opportunities for accelerated professional growth across multiple strategic and technical domains.

Our culture is built on transparency and a partnership-first mindset, moving beyond traditional hierarchies to focus on high-level communication and collective success. We are a team of owners who celebrate shared success and foster an environment of high ambition, technical excellence, and respect. By joining this high-performance ecosystem, you contribute to software that delivers real-world outcomes — and lasting impact.