Organisation/Company Barcelona Supercomputing Center (BSC) Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Spain Application Deadline 24 May 2025 - 00:00 (UTC) Type of Contract To be defined Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Context And Mission
In recent years, the exponential growth of data in scientific fields such as healthcare, genomics, and life sciences has surpassed our ability to securely and efficiently manage, share, and analyse it. As research becomes increasingly data-driven, there is a critical need for infrastructures that support secure, responsible, and efficient access to sensitive data.
A Trusted Research Environment (TRE) provides the foundation for enabling such access while upholding the highest standards of data security, privacy, and regulatory compliance—especially under European regulations like the GDPR. TREs offer controlled, auditable, and transparent platforms for researchers to work collaboratively across institutions, borders, and disciplines.
These environments are essential for large-scale biomedical studies focused on understanding disease mechanisms, developing new treatments, and improving patient care. By ensuring data sovereignty, ethical standards, and privacy, TREs empower researchers to responsibly use sensitive data, such as genomic sequences, medical records, and clinical images.
We are seeking a highly motivated Junior Research Engineer to join our team in the development and deployment of a TRE infrastructure. The focus will be on supporting Spanish research initiatives in healthcare, genomics, and life sciences, particularly those related to precision medicine, genomic data integration, and healthcare innovation.
The selected candidate will be part of the Social Link Analytics unit within the Life Sciences Department, a group dedicated to analysing biomedical data to evaluate its societal and scientific impact. The role will involve contributing to ongoing projects and designing effective solutions for data generation, processing, and analysis.
Key Duties
Validate proposed protocols to ensure alignment with existing regulations, especially the EU AI Act and data protection frameworks.
Contribute to capturing and analysing user interactions with the TRE to inform system improvements and usability.
Contribute to the development of projects aimed at validating Artificial Intelligence (AI) solutions within the healthcare sector, considering technical, ethical, legal, socioeconomic, cultural, and social dimensions.
Support research initiatives focused on identifying key challenges in AI-driven data processing.
Apply advanced AI techniques and large language models (LLMs) in the context of TRE infrastructure and biomedical data analysis.
Requirements
Education
A higher degree in Computer Science, Engineering, Mathematics, Physics, or a related bioinformatics field.
Master’s degree is preferred but not required.
Essential Knowledge and Professional Experience
Minimum of 2 years’ experience in validation of AI Infrastructures or virtual research environments (VREs).
At least 2 years’ experience in cloud infrastructure management, preferably in sensitive data contexts (e.g., healthcare, genomics).
Experience designing or maintaining data processing pipelines, including data cleaning, transformation, and integration.
Familiarity with the FAIR principles for data management.
Additional Knowledge and Professional Experience
Prior involvement in AI/ML projects, especially in the validation or deployment of AI solutions in healthcare or life sciences.
Familiarity with Large Language Models (LLMs) and their integration into data workflows is a strong plus.
Proficiency in Linux-based environments.
Excellent communication skills in both Spanish and English (written and spoken). Knowledge of Catalan is considered a plus.
Competences
Ability to interpret scientific literature and technical documentation.
Effective communication of scientific and technical results.
Comfortable working in a multicultural environment.
Proficiency in SQL, Python, or other programming languages for data processing; experience with ETL tools and cloud platforms.
Excellent verbal and written communication skills to interact with both technical and non-technical, research and business stakeholders.
Strong problem-solving abilities to address challenges in data management for AI.
Meticulous attention to detail to ensure accuracy and compliance.
Conditions
The position will be located at BSC within the Life Sciences Department
We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Starting date: asap
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