Phd Student in Computational Analysis of Health

hace 3 semanas

Barcelona, España Barcelona Supercomputing Center - Centro Nacional de Supercomputación A tiempo completo

**Context And Mission
The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a PhD student to work in the framework of a project of the Knowledge Generation Projects call for proposals: Health trajectories and the role of sex, gender, ageing, and treatments in comorbidities. This project is divided into two main sections. The first focuses on analysing Electronic Health Records from different populations, combining disease diagnoses with drug prescription and administration information. Its main objective is to generate health trajectories, which will allow evaluation of the impact of the co-occurrence of chronic diseases and the co-administration of drugs on the risk of developing secondary diseases. Given that as we age, the risk of multimorbidities (and the consequent co-administration of drugs) increases, this is a fundamental point since it has been described, but not systematically analysed, that the co-occurrence of diseases increases the risk of developing new diseases, putting at greater risk the lives of adults in particular. The second section provides biological hypotheses to disease co-occurrences using molecular data. More specifically, biological alterations that promote differences in comorbidity relationships between sexes will be analysed. In addition, information on disease-associated mutations will be combined with expression data from different tissues to study, from a molecular point of view, the impact of ageing on the risk of developing secondary diseases.

The PhD student will work in a highly sophisticated High-Performance Computing (HPC) environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with international and local experts in different areas of biomedical research.

**Key Duties
- Integration of heterogeneous data sources using advanced data mining techniques.
- Preparation and presentation of scientific articles
- Collaborate in the preparation and presentation of scientific projects Establish and maintain collaborations with international researchers

**Requirements
- Education
- Bachelor in biology, biotechnology, medicine, or a degree in science or engineering with sufficient knowledge and interest in biology.
- MSc in bioinformatics, computational biology or similar.
- Essential Knowledge and Professional Experience
- Previous experience in omics data analysis, network analysis, and basic knowledge of epidemiology.
- High motivation and scientific interest.
- Additional Knowledge and Professional Experience
- Knowledge and experience in life sciences research.
- Knowledge and some experience in statistics.
- Knowledge and some experience in AI methodologies.
- Programming: R and Python.
- 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 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, support to the relocation procedures
- Duration: Predoctoral contract
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: 1st of October

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