Job Reference
550_24_LS_TFGL_R2
Position
Recognised Researcher ML methods for histopathology image analysis in human development (R2) - AI4S
Closing Date
Sunday, 15 September, 2024
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, 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.
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 Transcriptomics and Functional Genomics Lab is interested in understanding how the information encoded in our genome determines gene expression variation across individuals, tissues and cells. To address this, we use a combination of cutting-edge computational analyses, next-generation sequencing, and high-throughput functional assays. Our goal is to perform integrative analyses of "-omics" data to ultimately understand how expression changes in both coding and non-coding genes explain human phenotypic variation in health and disease.
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
Key Duties Large-scale Analysis of transcriptomic datasets and histology image analysis Requirements Education
PhD in computational biology, genomics, Bioinformatics, statistical genetics, single-cell genomics, population genetics, AI, or related fields. Essential Knowledge and Professional Experience
Knowledge of UNIX/Linux environments Experience with some of the following: Scripting languages: Perl, Python, Bash, R Additional Knowledge and Professional Experience
Knowledge of bioinformatics/transcriptomics/genomics and basic molecular biology Experience in high performance computing Knowledge or experience in Machine Learning 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, within 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: 45.00,00€ 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.
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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