Senior Computational Biologist for Cancer Evolution Modeling
hace 2 semanas
Company Overview
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with over 400 scientists from 44 countries. Our mission is to advance knowledge and understanding of the underlying mechanisms driving life from a genomic perspective.
Job Description
We are seeking a highly motivated Senior Computational Biologist for Cancer Evolution Modeling to join our interdisciplinary team at the CRG. In this role, you will work closely with our group leaders and other computational biologists to develop mathematical and computational approaches for estimating mutation rates, tumor growth dynamics, and selection. Your primary focus will be on analyzing large-scale sequencing data sets and developing predictive models for cancer evolution.
Required Skills and Qualifications
- Bachelor's or Master's degree in bioinformatics, mathematics, physics, computer science, or a related field
- Strong programming skills in Python and/or R, with experience in machine learning and statistical analysis
- Familiarity with genomic data sets and experience with high-performance computing environments
- Excellent communication and teamwork skills, with the ability to present complex results to both technical and non-technical audiences
Benefits
We offer a highly stimulating environment with state-of-the-art infrastructure, access to cutting-edge technologies, and unique professional career development opportunities. Our employees enjoy a competitive salary package, including an estimated annual gross salary of €60,000, commensurate with qualifications and experience. Additionally, we provide a generous benefits package, including comprehensive health insurance, retirement savings plan, and paid time off.
Others
The position is initially limited to one year, with the possibility of extension based on performance and availability of funds. We encourage applications from individuals who share our passion for advancing our understanding of the intricate mechanisms governing life.
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