Computational Biologist in Cancer Evolution
hace 17 horas
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain. We are looking for a Research Assistant to join the 'Evolutionary Processes Modeling' group.
About UsWe 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. Our goal is to understand how cancer evolves and survive by mutation influx and identify cancer driver events from observed mutation data.
Job DescriptionYou 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.
Requirements- Experience with computer programming
- Worked with biological data sets before (e.g. DNA-seq, RNA-seq)
- Experience with modeling, statistical analysis and/or machine learning is a plus
You 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 and good communication skills.
The Offer - Working ConditionsContract duration: Technical and scientific activities contract estimated 1 year (with possibility of extension). Estimated annual gross salary: €42,000. Target start date: As soon as possible.
BenefitsWe 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.
OthersThe 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.
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