Postdoc - Computational Genomics

hace 1 semana


Barcelona, España Center for Genomic Regulation A tiempo completo

**The Institute**

The 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 by 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 (Charter and Code).

Please, check out our Recruitment Policy

**The role**

**About the team**

The overarching goal of the Regulatory Genomics and Diabetes lab is to understand the basis of gene regulation in pancreatic beta cells, and to deploy this knowledge to discover genetic causes and treatments for human diabetes. The lab combines computational analysis of in-house and external genomic datasets including RNA-seq, ChIP, HiChIP, pcHiC, sc genomics,CRISPR screens, genome variant sequencing, along with human stem cell-based and animal model systems. It is a multidisciplinary team that currently includes four computational scientists and six experimental scientists, many of whom carry their own genome data analysis.

The team is funded by, and forms part of, international consortia such as ESPACE, an EU-funded Human Cell Atlas project to define single cell genomic profiles of pancreatic cells, or ENPATHY, a training network focused on studying the role of transcriptional enhancers in human disease. It is funded by an Advanced ERC grant and the Spanish Ministry of Science. It is part of other large international consortia such as TOPMED or TIGER.

**Whom would we like to hire?**

**Must Have**
- You have experience in genome data analysis
- You have experience in genome sequence variant data and/or statistical genetics that is highly advantageous to engage in a human variant analysis project
- You have experience in NGS data analysis that is necessary to egage in a single cell genomics project

**Desirable but not required/ Nice to have**
- You have a first-author publication track-record

**Education and training**
- You hold a PhD (or equivalent experience) in statistical genetics, genome data analysis, computer science, statistics, engineering, quantitative biology, or related fields

**Languages**
- You are fluent in English

**Technical skills**
- You have proven programming competence in Python, R, or C++, or related languages
- You have expertise in Linux and high-performance computing environments

**Competences**
- You have the ability to work both in a team and independently
- You have the ability to work within a multidisciplinary environment
- You have highly developed organizational skills
- You are excellence driven

**The Offer**
- **Contract duration**: 3 year with possibility of extension.
- **Estimated annual gross salary**: Salary is commensurate with qualifications and consistent with our pay scales.
- **Target start date**: The post is available immediately, but the starting date is flexible.

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 welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

The C**RG is committed to reconcile a work and family life **of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.



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