37 Best prof Jobs in Madrid (July 2026)

Bioinformatician

14 hours ago

Madrid

Bioinformatician – Design of Biological Systems LaboratoryThe Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed of an interdisciplinary, motivated and creative scientific team supported by a flexible and efficient administration and by high‑end and innovative technologies.We are looking for a Bioinformatician to support research and innovation in Protein Masking through the development and application of bioinformatics workflows. The successful candidate will use and develop computational tools to model the accessibility of biomolecules connected by flexible linkers. The role will contribute to the development of predictive computational models that support the design and evaluation of a general mechanism for protein‑masked biomolecule production.Lab OverviewThe position is based in theDesign of Biological Systems Laboratory, led by Prof. Luis Serrano at the Centre for Genomic Regulation (CRG) in Barcelona. The laboratory combines computational and experimental approaches to achieve a quantitative understanding of biological systems, with a strong focus on protein engineering, synthetic biology, systems biology, and the development of predictive computational methods.ResponsibilitiesDevelop and apply bioinformatics workflows for protein masking research.Model accessibility of biomolecules with flexible linkers using computational tools.Contribute to the development of predictive computational models for protein‑masked biomolecule production.Work closely with computational and experimental scientists to develop innovative algorithms and bioinformatics tools for protein engineering and therapeutic applications.Required QualificationsExperience in bioinformatics, computational biology, structural biology, or a related field.Proven experience in developing computational methods or algorithms for biological applications.Fluent in English, both written and spoken.BSc degree in Bioinformatics, Computational Biology, Structural Biology, Biotechnology, or a related field.Strong programming skills in Bash, C++, Python and R.Knowledge of protein structure, protein‑protein interactions, and biomolecular modelling.Experience working with structural biology data (e.G. AlphaFold, PDB structures, molecular descriptors).Understanding of statistical methods and machine learning approaches for biological data analysis.Experience with Git for version control and collaborative software development.Proficiency in Linux/Unix environments and Bash scripting.Familiarity with workflow management systems and reproducible computational pipelines.Experience with high‑performance computing (HPC) environments.Ability to collaborate effectively within multidisciplinary teams and communicate computational results to experimental scientists.Desirable ExperienceExperience with protein structure prediction and analysis tools (e.G. AlphaFold, Rosetta, FoldX).Experience with molecular modelling or molecular dynamics simulations.Experience applying machine learning or deep learning methods to structural biology problems.Familiarity with protein language models (e.G. ESM, ProtT5) or geometric deep learning.Knowledge of protein engineering, antibody engineering, or biologics development.Experience contributing to open‑source software projects or scientific software development.Education and TrainingCurrently enrolled in, or recently completed, a master’s degree in bioinformatics, computational biology, computer science, structural biology, biotechnology, or a related field.Strong academic background in computational biology, bioinformatics, or quantitative life sciences.Technical SkillsGood programming skills in different languages.Familiarity with Linux/Unix environments and basic Bash scripting.Experience using version control software.Familiar with structural biology resources and formats (e.G. PDB structures, AlphaFold models).Basic knowledge of protein structure and protein‑protein interactions.Experience handling and analysing biological datasets using Python or R.Familiarity with machine learning libraries (e.G. PyTorch, scikit‑learn) is an advantage.Familiarity with molecular visualisation tools (e.G. YASARA, ChimeraX) is an advantage.CompetencesStrong analytical and problem‑solving skills.Excellent attention to detail and commitment to reproducible research.Ability to work independently while contributing effectively to a multidisciplinary team.Strong organisational and time‑management skills, with the ability to manage multiple tasks.Good written and verbal communication skills, with the ability to present technical concepts clearly.Offer – Working ConditionsContract duration:Technical and scientific activities contract linked to the project (estimated duration 1 year).Estimated annual gross salary:Salary is commensurate with qualifications and consistent with our pay scales.Target start date:20‑07‑2026.We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.CRG is committed to reconcile a work and family life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.#J-18808-Ljbffr

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