The 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 by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies.The CRG Bioinformatics Unit is seeking a Bioinformatician to implement, benchmark, and maintain robust, reproducible, and scalable bioinformatics workflows for the analysis of long‐read sequencing data. You will contribute to the development and application of long‐read approaches for the study of human genome variation and somatic genomic alterations in cancer, as well as to the characterisation of epigenomes and transcriptomes using these technologies.These efforts will further strengthen the CRG's long‐read data analysis capabilities, in line with the increasing availability of long‐read sequencing technologies such as the PacBio and the Oxford Nanopore at the institute.You will work in close collaboration with the Rodriguez‐Martin team, supporting activities related to data management, code development, and genomic data analysis. In addition, you will contribute to the funded project "The impact of highly mutagenic LINE‐1 repeats on cancer predisposition", which aims to identify novel biomarkers of cancer predisposition through the generation and analysis of tumour long‐read sequencing data.Your scientific contributions will support publications, translational research and lead to open‐source software solutions.About the Bioinformatics unit The Bioinformatics Unit supports CRG and external researchers with experimental design, high‐throughput sequencing data analysis, software/pipelines and database development, and other scalable bioinformatics solutions that enable reproducible and FAIR research, supported by training and dissemination of best practices.Whom would we like to hire? Professional experience Must have PhD in bioinformatics, computational biology, or related fieldUnderstanding of experimental design and statistical concepts relevant to omics dataAbility to critically evaluate and benchmark computational methods using appropriate metricsExperience in genome analysis, including variant calling, assembly, and phasingExpertise in the analysis of high throughput sequencing data (e.g. WGS or RNA‐seq)Ability to interpret results in a biological context and identify potential biasesProficiency in PythonProficiency in R and Bash scriptingFamiliarity with workflow systems (e.g. Nextflow)Experience with Git for version control and collaborative developmentComfortable in Linux/Unix environments and high‐performance computingUnderstanding of reproducibility and good practices in scientific computingBasic experience with containers (Docker or Singularity)Ability to collaborate with researchers to implement analyses and interpret resultsNice to have Experience analysing long‐read sequencing dataExperience with multi‐omics data integrationKnowledge of AI/ML Applications in bioinformatics or computational biologyExperience reproducing computational methods from publicationsExposure to CI/CD practices and automated testing workflowsEducation and training PhD in Bioinformatics, Computational Biology, Computer Science, or related fieldLanguages Proficiency in spoken and written EnglishCompetences Ability to manage multiple tasks and work independentlyCollaborative and proactive working styleCommitment to good practices for FAIR and reproducible researchClear written and verbal communication skillsThe Offer – Working Conditions Contract duration: Technical and scientific activities contract linked to the project (estimated duration of 1 year with possibility of extension)Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scalesTarget start date: July 1, 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.The CRG is committed to reconcile a work and family life of its employees and is offering extended vacation period and the possibility to benefit from flexible working hours.
#J-18808-Ljbffr