RESEARCH ENGINEER - MULTIOMICS INTEGRATION AND AI TECHNIQUES TO STUDY CHROMATIN DYNAMICS AND DRUG SYNERGIES IN CANCER (RE2)

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 staff from 60 countries.
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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 The Computational Biology Group, led by ICREA Professor Alfonso Valencia, is looking for a Senior Research Engineer (RE2) to support data analysis across several research projects.
These include the study of chromatin dynamics during B-cell differentiation, the prediction of drug synergies in cancer, and the mechanistic investigation of organoid development.
Located within the Life Sciences Department at the Barcelona Supercomputing Center (BSC), the group operates in an international and multidisciplinary research environment encompassing diverse areas of computational biology, from genomics and bioinformatics to computational biochemistry and epidemiology.
The Computational Biology Group (http://life.
sc.
s/compbio) is involved in a broad range of national and international initiatives focused on multilayer network modelling, epigenomics, and systems biology.
The successful candidate will work under the supervision of Dr.
José Carbonell and will be part of a multidisciplinary and international team.
The role involves applying advanced statistical methods, artificial intelligence, and computational simulations to address key innovations in precision medicine and cancer biology The position also offers the opportunity to engage in collaborative research with top-tier institutions such as the Josep Carreras Leukaemia Research Institute (IJC) and the Centro Nacional de Investigaciones Oncológicas (CNIO), within the framework of national and European projects.
Key Duties Apply established data science and bioinformatics pipelines to analyse various types of molecular data Perform integration of multi-omics datasets (e.
., transcriptomics, epigenomics, proteomics) to support systems-level insights Explore and apply state-of-the-art AI and machine learning techniques for modelling complex biological phenomena Contribute to the design, preparation, and dissemination of research findings, including reports, presentations, and publications Proactive participation in internal meetings, collaborative discussions, and broader scientific exchanges within the group and with external partners Requirements Education A degree in Computer Science, Mathematics, Engineering, or a related field Alternatively, a degree in Bioinformatics, Biomedical Sciences, or a related life science discipline Essential Knowledge and Professional Experience Demonstrated experience in data analysis and multi-omics data integration Proficiency in programming languages commonly used in data science and bioinformatics, particularly R and Python Familiarity with UNIX/Linux environments for computational workflows Ability to access, interpret, and critically evaluate scientific literature Additional Knowledge and Professional Experience Previous experience in life sciences research, particularly in genomics or systems biology Knowledge and hands-on experience with artificial intelligence (AI) and machine learning methodologies, including frameworks such as Keras, PyTorch or Tensorflow Previous experience working with single-cell sequencing data Fluency in English (spoken and written) is required Competences Strong communication and presentation skills, both written and oral Ability to work autonomously while also being an effective team player Conditions The position will be located at BSC within the Life Sciences Department We offer a full-time contract (37.
h/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 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.
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