Postdoctoral researcher - Sequence-based protein coevolution (R2)

Job Reference



Postdoctoral researcher - Sequence-based protein coevolution (R2)

Closing Date

Tuesday, 16 February, 2021
Reference: 427_20_LS_CB_R2
Job title: Postdoctoral researcher - Sequence-based protein coevolution (R2)

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 a hosting member of the PRACE European distributed supercomputing infrastructure. 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 700 staff from 49 countries.

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Context And Mission

The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a postdoctoral researcher to work in the context of structural bioinformatics.

The Life Sciences Department at the BSC integrates the independent research of senior scientists that work on various aspects of computational biology, ranging from bioinformatics for genomics to computational biochemistry and text mining. The Computational Biology group ( is involved in multiple projects covering a wide range of topics including multilayer network modeling, epigenomics and computations systems biology. Recently the Computational Biology group has joined a consortium along with the Animal Health Research Center (CReSA) of the Institute of Agrifood Research and Technology (IRTA) and the IrsiCaixa AIDS Research Institute, funded with the support of Grifols. The consortium's strategy is to generate vaccines using variants SARS-CoV-2 proteins. The group has also participated as assessors in the recent CASP14 challenge.

The candidate will work in collaboration with senior researchers in the Computational Biology Group of the Life Sciences Department as well as other research groups at the BSC. The work is in the framework of the research lines of the group, involving in personalized medicine and protein structure/function analysis, including the development of (co)evolution based methods.
The Researcher will work in a highly sophisticated HPC environment, will have access to state-of-the-art systems and computational infrastructures, and will establish collaborations with experts in different areas both at international and local levels, in particular. The Researcher’s tasks will involve applying protein sequence and structure based methods for the prediction of protein-protein interfaces and contacts, specific protein interaction partners and the effect of single or multiple amino acid mutations in the stability of protein structures.

Key Duties

  • Development and application of state-of-the-art sequence and structure based methods for the study of relevant biological problems involving proteins.
  • Perform sequence-based analysis of complex proteins to improve the understanding of important host-pathogen protein-protein interactions.
  • Investigate protein-protein interaction networks in different organisms using coevolution-based approaches.
  • Explore novel application for the prediction of protein interaction sites, including applications to the prediction of antigenic regions.
  • Preparation and presentation of scientific articles.
  • Collaborate in the preparation and presentation of scientific projects.
  • Establish and maintain collaborations with national and international researchers.


  • Education
    • Ph.D. in a topic related to structural bioinformatics (or equivalent).
  • Essential Knowledge and Professional Experience
    • Experience in protein sequence / structure analysis.
    • Knowledge of protein interaction prediction methods applied to protein families.
  • Additional Knowledge and Professional Experience
    • Knowledge and experience in structural analysis (pymol, vmd, quimera).
    • Knowledge and experience in phylogenetics
    • Programming: Python, R.
  • Competences
    • Fluency in spoken and written English.
    • Capacity to explore new research lines.
    • Good communication and presentation skills.
    • Ability to work both independently and within a team.


  • The position will be located at BSC within the Life Sciences Department
  • We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - 1 year, renewable renewable
  • 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

All applications must include:

  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

  • A full CV in English including contact details


The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Diversity and Equal Opportunity Employment

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.
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

Application Form

Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.