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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 selected candidate will develop and apply modelling and simulation techniques to biological networks, forecasting the effects of alterations and drug treatments on system dynamics. In addition, the selected candidate will have a critical role in the design and implementation of multiscale cellular simulations with strong computational requirements. This approach will enable the modelling and simulation of complex systems representing relevant use cases in molecular biology and personalised medicine, such as tumour evolution or viral infections. In addition, the candidate will work on the integration of cellular systems with organ-level simulations, thus contributing to the creation of digital twins in the biomedical area.
The successful candidate will join a highly dynamic and multidisciplinary research group within the Life Sciences department, which integrates independent senior scientists who work on various aspects of computational biology, ranging from genomics and proteomics to computational biochemistry and text mining. The Researcher will work in a highly sophisticated HPC environment, having access to systems and computational infrastructures that foster collaborations with experts in different areas. The candidate will work closely with other senior researchers in the Computational Biology Group (http://life.bsc.es/compbio) of the Life Sciences Department. Also, the selected candidate will interact with other departments at the BSC, especially Computer Science (with the Workflows and Distributed Computing group and Performance Tools group) and Operations Department (with the High-Level Support Team), as well as external collaborators.
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 "
- Development of AI/ML novel approaches for adaptive parameter space search for extreme model exploration.
- Optimization-based approaches for robust parameter estimation, model calibration and uncertainty quantification. Use predictive computational methods based on statistical and inference approaches to model complex biological processes.
- Integration of heterogeneous data sources using advanced data mining techniques.
- Preparation and presentation of scientific articles and project proposals.
- Establish and maintain collaborations with international researchers.
- Develop new research lines in the context of the group’s interests.
- Education
- PhD in computer science, bioinformatics or similar with a strong background in AI/ML.
- Essential Knowledge and Professional Experience
- At least 3 years of postdoctoral experience in the same or in a related area.
- Proven excellent scientific publication track record in the same or a related area.
- Additional Knowledge and Professional Experience
- Knowledge and experience in life sciences research
- Knowledge and experience in AI methodologies:
o Data pre/post-processing (feature selection, feature reduction, plotting and visualization)
o Supervised and unsupervised learning (classification, clustering, regression)
o Knowledge representation
o Complex networks (graph-based representation, graph analytics)
o Deep learning (TensorFlow, PyTorch, Caffe, word embeddings) - Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Competences
- Capacity to explore new research lines
- Excellent communication and presentation skills
- Ability to work both independently, in 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: 55.000,00 €
- 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
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.