Research Data Manager – Fair Data And Software

Barcelona Supercomputing Center; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restaurant tickets

Private health insurance

Relocation support

Descripción de la vacante

Barcelona Supercomputing Center in Barcelona seeks a highly motivated data steward to join the Life Sciences Department's TechBioLab. You will develop and implement data and software management plans to support national and European research projects.

You will promote FAIR data practices, support data sharing, and provide training across multidisciplinary teams, ensuring data quality, security, and long-term accessibility.

Formación

• Experience in data stewardship and research data management.
• Familiarity with FAIR data principles and data quality management.
• Fluency in English (written and spoken).
• Knowledge of data management practices and software quality in research contexts.

Responsabilidades

• Contribute to the development and implementation of data and software management plans for research projects.
• Support data sharing, interoperability and collaboration across multidisciplinary teams, within the organisation and with external partners.
• Promote and implement good practices in research data management and stewardship, ensuring data are Findable, Accessible, Interoperable and Reusable.
• Contribute to initiatives on research software quality, including promoting FAIR software practices and standards.
• Contribute to the definition and implementation of data governance frameworks and procedures to ensure data quality and security.
• Provide training and support to researchers and project partners on data management practices, tools and standards.
• Monitor developments in data management, FAIR data and Open Science, contributing to continuous improvement of internal practices and services.
• Contribute to planning, coordination and monitoring of tasks, milestones and deliverables across national and European projects.

Conocimientos

FAIR data principles

Data stewardship

Data analysis (R/Python/SQL)

Communication skills

Educación

MSc in data science, bioinformatics, computer science

Herramientas

R

Python

SQL

Descripción del empleo

About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe.

The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.

BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over **** staff from 60 countries.

We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.

In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer.

We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission The Technologies for Biomedical Research Lab (TechBioLab) within the Life Sciences Department of the Barcelona Supercomputing Center (BSC) brings together specialised teams to enable research activities in the Life Sciences.

These teams cover a range of areas, including research data and software, infrastructure for centralized and federated analysis and learning, etc.

From a technical perspective, TechBioLab's activities focus on developing infrastructures that support Life Sciences research, including software components for bioinformatics, research data management– especially in healthcare–and scientific and technical benchmarking of research software in close collaboration with various communities and projects.

Special attention is given to technological developments enabling the analysis of sensitive data in federated settings.

This approach facilitates the generation of AI models without requiring data to be moved from its original site.

Complementing these efforts, the lab also contributes to the development of Trusted Research Environments that enable the use of research data on single sites under specific, configurable usage conditions.

The laboratory coordinates the Spanish National Bioinformatics Institute (INB).

The Spanish National Bioinformatics Institute (INB) is the major bioinformatics platform in Spain and the Spanish node of ELIXIR.

ELIXIR (European Life Science Infrastructure for Biological Information) is a European organization founded in **** which aims to integrate and harmonize European bioinformatics infrastructures.

ELIXIR coordinates the participation of more than 22 countries; engages with other strategic European initiatives and projects, e.g. ESFRI, Research Data Alliance, EUDat and EGI; promotes specific training activities and workshops on ELIXIR resources, partners with industry, and play a key role in shaping the bioinformatics landscape.

Within ELIXIR, the INB is responsible for the bioinformatics infrastructure offered by Spain and, therefore, should guarantee its alignment with the strategic areas put forward by ELIXIR.

Since ****, the INB has two overarching objectives: deepen the alignment of its activities with ELIXIR, and increase the translational impact of INB actions towards the Spanish National Health System (SNS).

For the latter objective, the INB has created and supports TransBioNet (Translational Bioinformatics Network), which aims to structure, bring together and work with bioinformatics groups in healthcare settings with a particular focus on the Health Research Institutes (IIS) recognized by the ISCIII.

The INB coordinates the Data Science programme within the Spanish Infrastructure for Personalized Medicine associated with Science and Technology (IMPaCT in Spanish), which aims to establish an interoperable framework for biomedical data integration and analysis, addressing questions from clinicians through the implementation of computing systems in health environments.

This programme will prepare clinical data in Spain for secondary use, including medical imaging, structured and non-structured clinical data and genomics, considering all the legal provisions for each possible use and setting.

This programme will involve the liaison with diverse stakeholders, including hospitals, the ISCIII, companies in the biomedical sector, the Spanish Medicines Agency and biomedical researchers, among others.

All developments will be aligned with the European initiatives in the area, including those from ELIXIR, 1+Million Genomes, the Global Alliance for Genomics and Health and data-sharing projects such as FAIR4Health, HealthyCloud and TEHDAS.

In **** the INB, the Spanish Node of ELIXIR, renovated its portfolio of bioinformatics resources, including platforms, databases, individual tools and web-services.

This portfolio, known as Service Delivery Plan (SDP), constitutes the scientific-technical contribution of Spain to ELIXIR.

The candidate will join a dynamic Life Sciences department team, working in the highly cooperative, multidisciplinary, distributed context of ELIXIR and INB (Spanish National Bioinformatics Institute/ELIXIR-ES) and related national initiatives, such as TransBioNet.

Within TechBioLab, the Research Digital Assets Management team focuses on ensuring that research data and software are managed according to good practices and remain sustainable, reusable and accessible over time.

To support its growing portfolio of projects, the team is seeking a new member to contribute to a range of national and European initiatives.

The selected candidate will support the development and implementation of data and software management practices, ensuring that they are FAIR (Findable, Accessible, Interoperable, and Reusable), secure, well-documented and managed throughout their lifecycle.

Responsibilities will include developing data and software management plans, and supporting training activities and community engagement efforts across a diverse portfolio of projects in the TechBioLab.

Key Duties

• Contribute to the development and implementation of data and software management plans for research projects.
• Support data sharing, interoperability and collaboration across multidisciplinary research teams, both within the organisation and with external partners.
• Promote and implement good practices in research data management and stewardship, ensuring that data are managed according to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
• Contribute to initiatives on research software quality, including the promotion of FAIR software practices, software quality assessment procedures and community standards for reusable research software.
• Contribute to the definition and implementation of data governance frameworks and standards, and procedures to ensure data quality, security and compliance.
• Provide training and support to researchers and project partners on research data management practices, tools and standards.
• Monitor developments in research data management, FAIR data and Open Science, contributing to the continuous improvement of internal practices and services.
• Contribute to the planning, coordination and monitoring of tasks, milestones and deliverables across national and European projects.

Education

• MSc in data science, bioinformatics, computer science, or a related field.
• Alternatively, demonstrated experience in data management and stewardship.

Experience

• Experience in data stewardship and research data management.

Essential Knowledge And Professional Experience

• Familiarity with FAIR data principles and good practices in data quality management.
• Familiarity with data analysis with R, Python or SQL.
• Understanding of the regulatory requirements related to biomedical data management.
• Knowledge of research software development practices, FAIR software principles and research software quality assessment procedures.

Additional Knowledge And Professional Experience

• Experience working in European projects.
• Fluency in spoken and written English.

Competences

• Excellent communication and presentation skills.
• Ability to work independently and within a team.

Conditions

The position will be located at BSC within the Life Sciences Department

We offer a full-time contract (35h/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: 22 days of holidays + 6 personal days + 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

Development of the recruitment process

The selection will be carried out through a competitive examination system ("Concurso-Oposición").

Curriculum Analysis

The recruitment process consists of two phases:

• Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position.
• 40 points

The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources.

In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated.

60 points.

A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process.

After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview.

At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

At BSC, we seek continuous improvement in our recruitment processes.

For any suggestions or comments/complaints about our recruitment processes, please contact ******.

For more information, please follow this link.

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