Context And Mission

The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a postdoctoral researcher to work in the framework of a project of the Knowledge Generation Projects call for proposals: Health trajectories and the role of sex, gender, aging, 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 focuses on providing 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 aging on the risk of developing secondary diseases.

The selected candidate 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

- Study disease co-occurrence using hypergraphs.

- Analyze omics data to study the role of aging on the development of diseases and comorbidities.

- Write scientific articles and participate in dissemination activities

- Supervise junior profiles in the group

Requirements

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Education

- PhD in biology, biotechnology, medicine, or a related field.

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Essential Knowledge and Professional Experience

- Proved experience in omics data analysis, network analysis, and basic knowledge of epidemiology.

- Strong programming skills: R and Python.

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Additional Knowledge and Professional Experience

- Strong background in life sciences research.

- Knowledge and proved experience in statistics.

- Knowledge and proved experience in AI methodologies.

- Fluency in spoken and written English

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Competences

- Good communication and presentation skills.

- Ability to work both independently and within a team.

- High motivation and scientific interest.

Conditions

- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, versátil 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: 22 days of holidays + 6 personal days + 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

Required Skill Profession

Life Scientists

📌 Postdoctoral Researcher in Computational Biology (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona