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Empleos de barcelona supercomputing center bsc

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Job Post Details

Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R2) - AI4S - job post

Barcelona Supercomputing Center (BSC)
Barcelona, Barcelona provincia

Detalles del empleo

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Tipo de empleo

  • Jornada completa
  • Contrato en prácticas

Ubicación

Barcelona, Barcelona provincia

Descripción completa del empleo

Job Reference

708_24_LS_ICONBI_R2

Position

Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R2) - AI4S

Closing Date

Thursday, 31 October, 2024
Reference: 708_24_LS_ICONBI_R2
Job title: Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R2) - AI4S

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:
BSC-CNS YouTube 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
Professor Nataša Pržulj is looking for several post-docs to work in machine learning (ML) informed by network science for mining big biomedical data. They will be developing new ML algorithms for computationally hard problems and applying them to analyzing large-scale, heterogeneous molecular (multi-omic) and patient data to aid drug repurposing and personalizing treatment choices. The successful candidates will work on the prestigious research grants of Prof. Pržulj.

The successful candidates will address developing and applying sophisticated machine learning and network science models and algorithms for biomedical real-world data. The models and algorithms will be carefully designed and tuned to extract new biological and medical knowledge from systems-level, real-world molecular and medical data. The aim is to utilize them to understand the structure of the data, which would furhter enable more efficient mining of the data for new biological and medical insight, that would lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment and facilitating rational drug development. The successful candidates will join the dynamic research group of Prof. Przulj within BSC. The candidates will work in a highly sophisticated HPC environment, will have access to systems and computational infrastructures, and will establish collaborations with internationally renowned experts in different related areas.

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

"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.
Para más información: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s "

Key Duties
  • Conduct high-quality research
  • Publish in high impact journals and conferences
  • Present research at national and international conferences and meetings
  • Collaborate with various research groups across Europe and elsewhere
  • Help supervise PhD and MSc students
  • Participate in grant writing and organizational activities
  • Participate in educational and outreach activities
Requirements
  • Education
    • PhD, MSc and BSc in a quantitative discipline are required (physics, mathematics, computer science, engineering, bioinformatics, or similar)
  • Essential Knowledge and Professional Experience
    • Good academic and publication record for the career stage
  • Additional Knowledge and Professional Experience
    • Good technical skills including at least several of the following: machine learning, algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, bioinformatics, network biology, network medicine, network analytics, medical informatics
    • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
  • Competences
    • Good communication skills
    • Ability to work in a team and in a multi-cultural 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
  • Duration: 4 years
  • Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
  • Salary: 45.000,00€
  • 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 This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

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