The 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.In April 2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.Please, check out our Recruitment Policy: CRG Recruitment PolicyThe roleWe are looking for a research assistant to join the 'Evolutionary Processes Modeling' group. We use computational analysis of sequencing data together with population genetics predictions and statistical modeling to answer questions about mutational processes and selective pressures in cancer tumors. The candidate will analyze data, develop models for the description of tumor DNA sequencing data, develop a computational pipeline, and test biological hypotheses. Prior experience with machine learning algorithms is advantageous.The groupCancer is a genetic disease, subject to population genetics forces like mutation, selection, and stochasticity. Our group is particularly interested in how the evolution and survival of cancer cell populations relies on mutation influx and in how we can identify cancer driver events from observed mutation data. To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth dynamics, and selection.Whom would we like to hire?Professional experienceYou have experience with computer programming.You have worked with biological data sets before (e.g., DNA-seq, RNA-seq).Experience with modeling, statistical analysis, and/or machine learning is a plus.Education and trainingYou should have a master's or PhD degree in bioinformatics, mathematics, physics, computer science, or a related discipline.LanguagesYou are fluent in English.Technical skillsYou must be able to program in Python and/or R.CompetencesYou have highly developed organization skills.You have good communication skills.The Offer – Working ConditionsContract duration: Technical and scientific activities contract estimated at 1 year (with the possibility of extension).Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.Target start date: As soon as possible.We provide a highly stimulating environment with state-of-the-art infrastructure 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 reconciling a work and family life of its employees and is offering extended vacation periods and the possibility to benefit from flexible working hours.Application ProcedureAll applications must include:A motivation letter addressed to Dr. Donate Weghorn.A complete CV including contact details of two referees.All applications must be addressed to Dr. Donate Weghorn and be submitted online on the CRG Career site - CRG Career Site.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: Pre-selected candidates will be interviewed by the Hiring Manager of the position and a selection panel if required.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.Candidates may address scientific enquiries to ******: Please submit your application by November 30, 2024.The contract will be financed by the Plan Estatal PID2021-128976NB-I00.Suggestions: The CRG believes in ongoing improvement and promotes a culture of feedback. This is one of the reasons we have in place, at your disposal as a candidate, a mechanism to gather your suggestions/complaints concerning your candidate experience in our recruitment processes. Your feedback really matters to us in our aim at creating a positive candidate journey.
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