Spain Job Openings
Barcelona Supercomputing Center (BSC)
Large Language Models for Multimodal Synthetic Data Generation and Evaluation in Biomedicine (R2) - AI4S
Barcelona
FULL TIME
August 28, 2024
Job Reference
Position
Closing Date
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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.
The Life Sciences Department at the BSC is renowned for its pioneering independent research led by senior scientists. The department's expertise spans the application of computer science to life sciences, encompassing healthcare applications of machine learning and AI, as well as leveraging High-Performance Computing (HPC) for biomedical research pursuits. The Machine Learning for Biomedical Research unit is an integral component of this department, engaged in several projects that range from computational systems biology and network science to digital medicine. More about the unit can be found here: https://www.bsc.es/discover-bsc/organisation/research-departments/machine-learning-biomedical-research
The selected candidate will collaborate extensively with senior researchers within the Life Sciences Department and other research groups at the BSC. The research will align with the unit's focus on Machine Learning and AI applications in Personalized Medicine, which includes synthetic data generation and complex systems modeling.
The researcher will operate within a sophisticated HPC environment, with access to cutting-edge systems and computational infrastructures. The role involves extensive collaboration with both international and local experts across public and private sectors. The researcher will develop and implement systems for creating synthetic datasets, which will be pivotal for training and evaluation processes.
Applicants should possess a robust understanding of a broad spectrum of biomedical data and be proficient in deep learning techniques. Familiarity with privacy-preserving AI and explainable AI (XAI) is preferred, enabling the development of innovative and ethically sound AI solutions.
This position offers an exceptional opportunity to contribute to significant advancements in AI-driven biomedical research, working in a dynamic and collaborative international research environment.
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 "
- Develop computational solutions, with special emphasis on AI methods, specifically LLMs, for the generation of synthetic instances of biomedical data of different types and modalities.
- Implement robust and reliable state-of-the-art generative models, such as Transformers, Diffusion models, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN).
- Interact efficiently with the HPC environment of the Barcelona Supercomputing Center.
- Explore the application of explainability to the required tasks.
- Establish and maintain collaborations with national and international researchers in both the public and private sector in the area of healthcare and biomedical research.
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Education
- Ph D in computer science or bioinformatics with a very strong AI component.
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Essential Knowledge and Professional Experience
- Experience in AI methodologies, specifically biomedical data analysis.
- Deep learning frameworks (Py Torch, Tensor Flow)
- Interest in the life sciences area
- Capacity to explore new research lines
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Additional Knowledge and Professional Experience
- Experience in synthetic data generation
- Knowledge and experience in life sciences research
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Knowledge and experience in machine learning and data science:
- Data pre/post-processing (feature selection, feature reduction, plotting and visualization)
- Supervised and unsupervised learning (classification, regression, clustering)
- Model deployment and scaling strategies (Docker, Kubernetes)
- Programming: Python (scikit-learn, numpy, matplotlib), R, Java, C, C++, Git.
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
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Competences
- Good communication and presentation skills
- Ability to work both independently, within a team and in a multi-cultural environment.
- 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
- 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.
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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