You are here:Home > Bioinformatic expert on transcriptomic analysesBioinformatic expert on transcriptomic analysesThe InstituteThe 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 which is supported both by a flexible and efficient administration and by high-end and innovative technologies.We are seeking a talented computational expert with experience in next-generation sequencing data, particularly in single-cell transcriptomics and alternative splicing to cover for a leave for three months. The primary goal of the job is to provide support to the projects carried out in the lab. The job will include (but is not restricted to): analysis of alternative splicing and gene expression using single-cell long-read sequencing data,analysis of alternative splicing and gene expression using bulk RNA-seq,identification of genome mutations in WGS data.About the labThe Irimia lab is an international and multi-disciplinary team dually affiliated with UPF and CRG. It focuses primarily on elucidating the role of alternative splicing in vertebrate development and adult function, generally applying explicit evolutionary perspectives. Part of our work focuses on microexons in the nervous system and in endocrine pancreas, a splicing program that we have originally discovered and to which we have made key contributions. In our lab, we combine computational approaches (comparative bulk and single-cell transcriptomics and functional genomics) with experiments using in vitro and in vivo systems. In addition, we have recently started a strong collaboration with the BIMSB-MDC in Berlin, with the overarching goal of advancing single-cell transcriptomics with isoform resolution.Whom would we like to hire?Professional experienceMust HaveExperience in next-generation sequencing analyses.Ability to interact and collaborate with biologists.Desirable but not required/Nice to haveExperience in evolutionary analyses.Experience with the generation of scientific visualizations with R.Education and trainingHold a degree or PhD in disciplines such as Bioinformatics, Physics, Statistics, Biology, etc.LanguagesTechnical skillsProgramming in various languages (at least Python, Perl and/or R).CompetencesThis job involves a lot of collaboration with other researchers; therefore, the candidate must enjoy working as part of a team.Good organization skills.The Offer – Working ConditionsEstimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.We provide a highly stimulating environment with state-of-the-art infrastructures, and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section.We offer and promote a diverse and inclusive environment and welcome 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 an extended vacation period and the possibility to benefit from flexible working hours.Application ProcedureAll applications must include:A motivation letter addressed to Dr. Manuel Irimia.Contact details of two referees.All applications must be addressed to Dr. Manuel Irimia and be submitted online through the "Apply" button below.Selection ProcessPre-selection: The pre-selection process will be based on qualifications and expertise reflected in the candidates' CVs. It will be merit-based.Interview: Preselected candidates will be interviewed by the Hiring Manager of the position.Offer Letter: Once the successful candidate is identified, the People department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.Deadline: Please submit your application by 17/10/2024.This position is funded with the reference ID2020-115040GB-I00/AEI/10.13039/501100011033.
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