Master Student

hace 2 semanas


Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 15_25_LS_CB_R0

**Position**:

- Master Student - Computational Biology Group (R0)

**Closing Date**:

- Wednesday, 22 January, 2025

**Reference**: 15_25_LS_CB_R0

**Job title**: Master Student - Computational Biology Group (R0)

**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.

Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks

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.

**Context And Mission**
- The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Master's student to work on the development of computational tools for the analysis of single-cell sequencing data from a systems biology perspective, integrating methods that quantify the activity of different categories of molecular pathways.

**Key Duties**
- Understand how to derived cell-type specific molecular profiles from single-cell sequencing data
- Evaluate different modelling methods to quantify signalling, metabolic and gene regulatory pathways
- Integrate different molecular pathwasy by using graph theory and multilayer networks
- Collaborate in the preparation and presentation of research projects.
- Participate in internal group meetings and other scientific discussions.

**Requirements**:

- Education
- Degree in Computer Sciences, Mathematics, Bioinformatics or any field related to engineering
- Enrolled in a Master in Computer Sciences, Mathematics, Bioinformatics or any field related to engineering
- Essential Knowledge and Professional Experience
- Good programming skills (R / Python)
- Knowledge of UNIX/Linux environments
- Experience in data analysis and data integration
- Ability to access and evaluate scientific literature
- Additional Knowledge and Professional Experience
- Knowledge and experience in life sciences research
- Knowledge and experience in AI methodologies.
- Fluency in spoken and written English
- Competences
- 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 part-time contract (22.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, private health insurance, support to the relocation procedures
- Duration: linked to the educational agreement
- Starting date: asap

**Applications procedure and process**
- 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

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**

**OTM-R principles for selection processes**

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


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