Research Engineer – Artificial Intelligence for Synthetic Data Generation in Biomedicine

Job Reference

284_24_LS_LT_RE2

Position

Research Engineer – Artificial Intelligence for Synthetic Data Generation in Biomedicine

Data de tancament

Diumenge, 01 Setembre, 2024
Reference: 284_24_LS_LT_RE2
Job title: Research Engineer – Artificial Intelligence for Synthetic Data Generation in Biomedicine

 

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.

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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.
 
Context And Mission
 
The Machine Learning for Biomedical Research unit at the BSC, led by Dr. Davide Cirillo, is currently offering a research engineer position. This position focuses on facilitating the use of artificial intelligence (AI) to produce synthetic biomedical data. This initiative is part of a collaborative project supported by an EU public-private partnership, aimed at advancing the frontiers of synthetic data generation in biomedical research.
This position places a strong emphasis on both the developmental and infrastructural aspects of AI models used in synthetic data generation. The Research Engineer will not only contribute to the development and implementation of these AI techniques—working with diverse data types such as images, genomic sequences, time series, and texts—but will also lead efforts in optimizing and deploying these systems within our sophisticated HPC environment. The aim is to ensure computational robustness and efficiency, critical in supporting the demanding workloads of biomedical research.
The successful candidate will join the Machine Learning for Biomedical Research unit, a dynamic research group within the Life Sciences department. The Department includes multiple expert scientists that work on various aspects of computational biology, including bioinformatics for genomics, proteomics and transcriptomics data analysis, to computational biochemistry, text mining and network science. The Researcher will work in a highly sophisticated HPC environment, have access to the multiple computational infrastructures available at BSC, and establish collaborations with experts in multiple areas.
 
Key Duties
 
  • Design and implementation of robust AI systems for the generation of high-quality synthetic biomedical datasets.
  • Optimization of AI models for high-performance computing environments, enhancing scalability and processing efficiency.
  • Collaborate closely with interdisciplinary teams within the BSC, as well as with international and local experts from both public and private sectors.
  • Contribute to the broader EU public-private partnership initiative, aimed at transforming synthetic data utilization in biomedical research.
 
Requirements
 
  • Education
    • BSc in Computer Science, Physics, Mathematics or related.
    • MSc in data science, machine learning or similar or computational biology.
  • Essential Knowledge and Professional Experience
    • Proficient understanding of various biomedical data types and their applications in AI.
    • Strong expertise in deep learning and other machine learning methodologies.
    • Experience in MLOps, particularly related to deploying and managing AI models in HPC settings.
    • Demonstrable skills in software development and system architecture, with a focus on AI-driven technologies.
  • Additional Knowledge and Professional Experience
    • Fluency in spoken and written English
  • Competences
    • Capacity to explore new research lines
    • Good communication and presentation skills
    • Ability to work both independently and within a team
 
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
 
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

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