You are here:Home > Computational Scientist in the group 'Evolutionary Processes Modeling'Computational Scientist in the group 'Evolutionary Processes Modeling'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.We 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. Analysis of the mutational processes acting in cancer genomes allows us to learn about carcinogenic mutagens, while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth. Estimates of the strength of selection in cancer allow a prioritization of genes and non-coding regions by their disease relevance, with the ultimate goal of promoting therapeutic advances.Minimum Requirements:You 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 1 year (with 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.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 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 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: 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.Deadline: Please submit your application by November 30, 2024.The contract will be financed by the Plan Estatal PID2021-128976NB-I00.
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