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Computer Science Octopus for the DATA4YOU program internship

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Randstad

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Location:
Belgium , Beerse

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

DATA4YOU is a multi-year strategic program delivering the state-of-the-art J&J clinical data hub and data review platform leveraging AI and ML to facilitate the work of key personas managing clinical trials. This program comes with a high investment and a high expectation toward cost & time savings, operational and organizational benefits. We want to give a candidate with background in Computer Science or Data Science (Bachelor or Master) the experience of participating in and contributing to the technical track of this key program. The opportunity can be tailored towards the interest of the candidate.

Job Responsibility:

  • Designing and implementing predictive models to support clinical trial data analysis and operational decision-making
  • Applying statistical and machine learning techniques to large-scale clinical datasets to uncover actionable insights and drive innovation in healthcare
  • Developing and automating data pipelines and quality checks using Python, Databricks, and cloud-based platforms
  • Supporting testing, performance testing, and test automation for new analytics solutions
  • Evaluating and deploying advanced analytics, including natural language processing and deep learning models, to enhance data review processes
  • Project management support (project manager, scrum master, or stream lead)
  • Documentation management and computer system validation support
  • Production roll-out, issue analysis and resolution, and technical end-user training

Requirements:

  • Undergraduate student
  • Fluent in English, both verbally and in writing
  • Able to work independently as well as part of a team
  • Ability to work, communicate and collaborate in global (cross-functional) teams
  • Strong communication skills to collaborate with internal and external stakeholders
  • Project Management Experience with data wrangling, feature engineering, and model validation in Python or R
  • Familiarity with statistical analysis, hypothesis testing, and experimental design
  • Knowledge of cloud computing environments (e.g., Azure, AWS) and scalable data processing frameworks
  • Knowledge systems/software: Microsoft Suite of Tools, MS, Teams, Yammer, SharePoint, Spotfire, Databricks, Phyton, R or SAS
What we offer:
  • Working in an international organization
  • Opportunity to develop your personal and business skills
  • Work on challenging projects
  • Explore your interests

Additional Information:

Job Posted:
December 25, 2025

Expiration:
February 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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