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Two Postdoc Positions to Analyze The Impactt2d

hace 3 semanas


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**

The scientists will be based in the Centre for Genomic Regulation (CRG), Barcelona, in the Regulatory Genomics and Diabetes lab (Ferrer, Bonas-Guarch) jointly with the European Genome-phenome Archive /Universitat Pompeu Fabra team led by Navarro and Rambla. Both postdoctoral scientists will work in a broader group of analysis teams from CRG, CNAG, European Genome-phenome Archive, CIC BioGune, and Universidad de Murcia, with expertise covering diverse areas such as genome sequence analysis, statistical genetics, machine learning or regulatory genomics. The ImpactT2D consortium is also composed of outstanding clinical research centers across Spain.
**About the lab**

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.

**Whom would we like to hire?**
**Professional experience**
**Must Have**
- You have proven experience in programming competence in Python, R, or C++, or related languages, and Expertise in Linux and high-performance computing environments
- You need to have experience in NGS data analysis to engage in a single cell genomics project
**Desirable but not required/ Nice to have**
- You have familiarity with methods in machine learning and/or statistical inference is desirable.
**Education and training**
- You hold a PhD (or equivalent experience) in statistical genetics, genome sequence data analysis, or related fields
**Languages**
- You are fluent in English
**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 - Working Conditions**
- **Contract duration**: 2 years, extendible.
- **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 **CRG 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.