Pioneer the future of regulatory compliance through technology. This Student Engineer role within our Global Regulatory Affairs department offers a unique opportunity to apply your technical skills in AI, machine learning, and data analytics to solve complex challenges in the medical device industry. You will help us transform how we manage data, automate processes, and drive digital innovation in a highly regulated, life-changing environment.
Key Responsibilities
You will be a key contributor to digital transformation projects, bridging the gap between technical development and regulatory compliance.
AI & Data Solution Development:
- Assist in designing, developing, and deploying data-driven and AI-assisted tools for regulatory operations.
- Analyze both structured (product data) and unstructured (submissions files) regulatory data to identify and implement automation opportunities.
- Perform data validation, testing, and model evaluation for prototype AI/ML solutions.
Data Management & Visualization:
- Build and maintain SQL queries, data pipelines, and interactive dashboards (e.g., Power BI, Tableau) to improve regulatory information traceability.
- Execute ad-hoc technical tasks, including data maintenance, cleaning, automation scripting, and report generation.
Process Improvement & Collaboration:
- Collaborate with RA subject matter experts and cross-functional teams (IT, Quality, R&D) to align technology with compliance needs.
- Document new digital workflows and assist in the development of Standard Operating Procedures (SOPs).
Qualifications & Experience
Essential Qualifications:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related IT field.
- Strong understanding of SQL, data management, and database design.
- Foundational knowledge of Python and data analytics libraries (e.g., pandas, scikit-learn).
- Excellent analytical, problem-solving, and documentation skills.
- A passion for applying technical skills to the healthcare and regulatory domain.
Preferred Skills:
- Familiarity with Natural Language Processing (NLP), automation frameworks, and data visualization tools (Power BI, Tableau).
Why Join Us?
You will be part of a team dedicated to making the world a healthier place. We offer a challenging, supportive, and inspiring environment where you can:
- Gain Hands-On Experience: Work on real-world projects involving AI and digital transformation in a global medical device organization.
- Drive Innovation: Help bridge the gap between engineering, data science, and regulatory compliance.
- Grow Your Career: Thrive in a diverse and inclusive culture that encourages individual expression and innovative thinking.
Ready to create new goals and challenge yourself? Apply now to start your journey with us.
