Spain Job Openings

Barcelona Supercomputing Center (BSC)

Research Data Steward - AI4S

Barcelona

FULL TIME

October 7, 2024

Job Reference
711_24_OP_DM_RDS
Position
Research Data Steward - AI4S
Closing Date
Tuesday, 22 October, 2024
Reference: 711_24_OP_DM_RDS
Job title: Research Data Steward - AI4S


About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, 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 Euro HPC 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 1000 staff from 60 countries.

Look at the BSC experience:
BSC-CNS You Tube Channel
Let's stay connected with BSC Folks!

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
We are looking for data managers, data stewards, or equivalent professional figures, with experience in data management (either policy-oriented, research-oriented or infrastructure-oriented), for giving support to BSC multidisciplinary researchers and be part of the data management team of the BSC.

The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s

Key Duties
  • Support and advice about the management and usability of scientific data management tools. This involves interactions with local, national and international initiatives and stakeholders.
  • Ensure data transferred from and to the BSC meets standards with respect to formats, security and validity of processing and data protection.
  • Contribute to adopt FAIR Data principles across existing and future research projects.
  • Contribute to maintain the BSC scientific data catalogues.
  • Work together with BSC DM team to ensure the appropriate implementation of standards and DM methodologies.
  • Collaborate with other DM groups at European and International level on practical matters related to research data management.
Requirements
  • Education
    • Degree in Computer Science or a related field.
    • MSc in Information Systems, Data Management or similar disciplines is highly desirable.
  • Essential Knowledge and Professional Experience
    • 2 to 3 years of experience in research data management, including supporting research teams on best practices and tools, in a public data center.
    • Knowledge of FAIR principles and Open Science topics applied to European projects (H2020-HE).
    • Experience with supporting the preparation of data management plans (DMPs) and using data management tools (DSW) for planning and implementation.
    • Experience integrating data tools, including workflow management systems to optimize data processes and tasks, especially Apache Air Flow.
    • Practical knowledge of Open Stack as a cloud-based solution.
    • Solid understanding of Linux environments and Shell scripting.
  • Additional Knowledge and Professional Experience
    • Familiarity with Artificial Intelligence (AI) and Machine Learning (ML) algorithms is a plus.
    • Knowledge of data storage, data transfer, backup strategies, data sharing, data repositories (Dataverse) for research projects.
    • Written and verbal communication skills in Spanish and English.
  • Competences
    • Ability to take initiative, prioritize and work under set deadlines.
    • Ability to work independently and in a team to complete tasks on schedule.
    • Analytical problem-solving ability.
    • Interest in exploring and applying AI and ML algorithms to enhance data management and analysis capabilities.
    • Curiosity and enthusiasm for advancing data management practices and innovations in research.
Conditions
  • The position will be located at BSC within the Operations 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
  • Duration: 4 years
  • Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
  • Salary: 40.000,00€
  • Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
  • Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024
Applications procedure and process

All applications must be submitted via the BSC website and contain:
  • A full CV in English, including contact details.
  • A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.


Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
  • Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
  • Interview phase: 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 recruitment [at] bsc [dot] es.
For more information, please follow this link.

Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link

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