Computer Science; Informatics
Work description
The design and development of automated data pipelines for pre-processing, anonymisation and efficient storage of large volumes of clinical data. The creation of backends and APIs using frameworks to integrate AI models with hospital interfaces. The implementation of security mechanisms and compliance with the LGPD/GDPR and hospital standards. The technical integration of the predictive model with existing hospital systems, guaranteeing interoperability and performance. Active collaboration with the scientific team in the technical and methodological documentation of the solutions developed and in the writing of scientific publications.
Academic Qualifications
Master's degree in computer science
Minimum profile required
- Knowledge of Software Engineering;- Knowledge of Data Science.
Preference factors
- Solid academic background in Computer Engineering, Computer Science. - Relevant experience in backend software development and API integration. - Knowledge and experience in managing and processing large volumes of data (big data), including anonymization and secure storage. - Familiarity with legal and regulatory requirements in the context of health data (e.g. GDPR, clinical interoperability). - Autonomy, critical thinking and experience in writing technical and/or scientific documents. - Fluency in technical English.
Application Period
Since 01 Jun 2025 to 16 Jun 2025
Centre
Human-Centered Computing and Information Science