data-scientist

Agomab is translating a deep expertise in growth factor biology to pioneer and develop novel treatments that aim to resolve fibrosis, repair tissue structure and restore organ function. Combining new scientific insights with robust drug development and a long-term corporate vision, we are building a broad clinical pipeline of differentiated programs with disease modifying potential in severe organ failure and fibrotic diseases.

Agomab 

• Integrate clinical, molecular, RWE, and functional data to enable comprehensive analyses.
• Conduct systematic literature mining to conceptualize and refine new clinical, translational, and PD endpoints.
• Analyse and interpret high-dimensional datasets (e.g., RNA-seq, proteomics, genomics, imaging-derived features).
• Integrate internal datasets with publicly available and external data sources.
• Collaborate closely with Biostatisticians, Translational Pharmacologists, Medical Directors and Clinical Biomarker Managers and IT managers to translate data into actionable insights.
• Generate clear visualizations, analyses, and reports for cross-functional teams, governance boards, and regulatory-facing documents.
• Support the creation of protocols, statistical analysis plans, and publications.
• Ensure data quality, reproducibility, documentation, and compliance with data governance standards.

Senior Bioinformatician / Data Scientist

Bioinformatician/Data Scientist working at the intersection of data science and clinical science in a biotech company. Integrating multi-omics, clinical, and real-world datasets for actionable insights.

Dun & Bradstreet is a global provider of business decisioning data and analytics. They offer comprehensive information on businesses, providing insights and intelligence to facilitate commercial credit decisions, B2B marketing, and supply chain management. Their services are designed to help companies make informed decisions by offering a vast database of commercial data from around the world. Dun & Bradstreet is widely recognized for its Data Universal Numbering System (DUNS number), which is used to identify businesses globally.

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses. 

Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Dun & Bradstreet

• Participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
• Research complex business issues and recommend solutions, including model features, end products and any data required to support growing initiatives.
• Drive innovation by helping design and deploy agentic systems that orchestrate LLMs and other AI components to deliver structured, transparent, and scalable insights.

LLM & Agentic AI Data Scientist

Data Scientist driving LLM-driven innovations within Dun & Bradstreet’s Data & Analytics team. Aiming for scalable AI insights through complex modeling engagement and business research.

Dignify is a dynamic company that focuses on fostering the growth and development of top-tier marketing and technology talent across Europe. Within a collaborative environment known as the Customer Collective, Dignify empowers its members to take on diverse projects, providing best-in-market coaching and training, which enhances their expertise and career paths. The company values an inclusive culture, encouraging individuals to embrace challenges while balancing work and play, ultimately positioning its clients ahead of the curve in strategy and digital performance.

Dignify is a digital services agency specialised in marketing technology. Our experienced team of marketing technologists help international B2C and B2B companies anticipate the (digital) needs of tomorrow. By being the bridge between marketing and IT, we deliver successful implementations of automated and data-driven marketing automation initiatives.

Dignify is part of Customer Collective.

Dignify

• Get excited when receiving a new dataset with millions of behavioral records
• Thrive on uncovering hidden insights, testing hypotheses, and drawing meaningful conclusions
• Simplify complex data into actionable customer segments, providing clear starting points for smart marketing campaigns
• Support colleagues with valuable insights, track campaign results, and refine segments by improving prediction models
• Design experimental frameworks for marketing teams and closely monitor their impact

Data Scientist

Data Scientist at Dignify focusing on AI & machine learning for marketing contexts. Analyzing behavioral datasets to deliver insights and streamline marketing campaigns while collaborating with diverse teams.

Uni Systems is an information and communication technology (ICT) company that specializes in providing innovative IT solutions to various industries. With a focus on digital transformation, Uni Systems offers services in infrastructure and operations, cloud and data center technologies, cybersecurity, enterprise solutions, and big data analytics. The company harnesses the power of emerging technologies and artificial intelligence to drive innovation and transform modern businesses. Uni Systems works closely with sectors such as banking, government, telecommunications, healthcare, and retail to deliver strategic and cutting-edge ICT solutions. Their commitment to sustainability and digital ethics underscores their mission to use technology as a transformative force for business growth and societal improvement.

Uni Systems, a member of Quest Group, has been a reliable ICT partner to companies and organizations in the European market for over 58 years. We are the first IT company founded in Greece, in 1964, and we have been supporting our clients ever since. Trusting customers, extensive solutions offering, strong partnerships and experienced people, those are the main grounds for Uni Systems’ rapid expansion of operations across geographies and industries.

With more than 1100 specialized ICT professionals, established presence in more than 26 countries, and branches and subsidiaries in the heart of the European Union (Athens, Barcelona, Brussels, Bucharest, Luxembourg and Milan), we are effectively addressing the needs of European and International organizations and institutions and delivering value-added integrated solutions to our customers. 
Through our strong industrial vertical expertise, supported by the range of our horizontal solutions, we hold a substantial and successful track record in the delivery and implementation of large-scale, mission-critical projects in the sectors of Banking & Finance, Enterprise & Utilities, Government, and Telecommunications, as well as in EU Institutions and Agencies. 
Participations in real commercial implementations of best practices (i.e. ITIL, RUP, PRINCE2, PMI), has provided our people with significant experience, unique know-how and proven capability in designing, implementing and successfully supporting complex ICT projects, through a range of solutions and business areas.
At Uni Systems, we support innovation, and we have been investing in the European and National research ecosystem. Our Research and Innovation (RDI) department has been successfully bidding and winning a series of research programs in promising technological areas, such as 5G, AI in Health, and Blockchain in Governance.

Enabling our clients' digital transformation journey is our passion and we remain strongly committed to it.

Uni Systems

• Design surveys, including structure, content, and layout, optimized for the anticipated analytics.
• Query databases to retrieve relevant data from HR information system databases or data warehouses.
• Perform data treatment, including data integration, editing, imputation, and weighting, while applying appropriate data protection measures.
• Conduct advanced data analysis, including statistical analysis, modeling, forecasting, and text analysis, combining multiple data sources.
• Design, develop, and test prototype dashboards and other web-based applications.
• Design, develop, and implement AI and machine learning models to extract insights, automate processes, and enhance decision-making within the project context.
• Exchange with clients or stakeholders in response to data requests or within project contexts to identify analytical needs, expectations, and assumptions.
• Identify potential data sources and data collection instruments for specific data analysis assignments and develop appropriate statistical methodologies and tools.
• Prepare deliverables, including narrative reports with visualizations and interpretation of trends, insights, and recommendations.
• Disseminate results and share knowledge through papers, briefings, news releases, websites, and presentations, including provision of results-based policy advice.
• Create and maintain comprehensive documentation of methodologies and developments.


Data Scientist role at Uni Systems focusing on survey design and advanced data analysis. Involves AI model development for data insights and decision-making processes.

Hybrid Data Scientists roles in Belgium

Browse 4 hybrid data scientists roles hiring in Belgium plus related opportunities such as data analyst and product analyst.

4 jobs found

Senior Bioinformatician / Data Scientist

Agomab

LLM & Agentic AI Data Scientist

Dun & Bradstreet

Data Scientist

Dignify

Data Scientist

Uni Systems