Junior research engineer for Social Link Analytics (RE1)

Job Reference

894_24_LS_SLA_RE1

Position

Junior research engineer for Social Link Analytics (RE1)

Closing Date

Sunday, 19 January, 2025
Reference: 894_24_LS_SLA_RE1
Job title: Junior research engineer for Social Link Analytics (RE1)

 

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 1000 staff from 60 countries.

Look at the BSC experience:
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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
 
Within the Life Sciences Department, we are looking for a junior research engineer RE1 to work with the Social Link Analytics unit. The Social Link Analytics unit is dedicated to analyzing data related to biology and medicine, aiming to evaluate their impact on scientific advancement in society. The main areas of activity of the unit include:

- Leading the Bioinfo4Women programme of the Life Department.
- Research on sex and gender biases in health and Artificial Intelligence.
- Study the spread of disinformation in the media and on social networks, tracking its propagation and regarding the evolution of narratives. This involves applying network analysis techniques, Artificial Intelligence (AI), and language models (LLMs).
- Conducting a comprehensive evaluation of AI applications in the health sector, considering technical, human, and social dimensions.
In this context the successful candidate will be tasked to help in the development of the LLMs integration within the current projects and help to design suitable solutions for generating, processing and analysing data.

El contrato se financia con cargo a la ayuda PMP22/00008 concedida por el Instituto de Salud Carlos III, financiada por el Instituto de Salud Carlos III (ISCIII) y con posible cofinanciación con Fondos Europeos de Desarrollo Regional (FEDER "Una manera de hacer Europa"), hasta el 31/12/2025.

 

Key Duties
 
  • Analyse ML training datasets to identify biases.
  • Support coordination of the research line in the frame of the Bioinfo4Women programme of the Life Department
  • Dissemination of results through data visualisations, scientific articles, blogs, and online media posts
 
Requirements
 
  • Education
    • Degree in Computer Science, Computer Architectures, Mathematics, Bioinformatics, Physics, or similar.
    • Master’s Degree in Computer Science, Computer Architectures, Mathematics, Bioinformatics, Physics, or similar, or in the process of presenting the TFM.
    • Or higher education (FPII)
  • Essential Knowledge and Professional Experience
    • Experience in Python programming language
    • Experience in AI development, and Data Analysis
    • Experience in web programming languages and frameworks (e.g., Javascript, HTML, CSS, WordPress)
    • Experience working in multidisciplinary teams
    • Experience with Python data tools (e.g., Pandas, Numpy, Jupyter Notebooks, Scikit-learn, Matplotlib/Seaborn) to obtain, curate, clean, analyze, and visualization of information
    • Minimal experience with Linux-based environment is also appreciated
  • Additional Knowledge and Professional Experience
    • Good communication skills, including proficiency in Spanish and English (both written and spoken). Catalan language skills are also appreciated.
  • Competences
    • Ability to understand scientific literature and software documentation.
    • Ability to work in a team and in a multicultural environment.
 
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: until 31/12/2025
  • 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
 
Applications procedure and process
 
All applications must be made through BSC website and contain:
 
  • A full CV in English including contact details
  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

    For more information 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

 

Application Form

please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
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Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
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** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.