RESEARCH TRAINEE | CRG ONLINE RECRUITMENT PORTAL
Descripción de la oferta de empleo
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 , 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 We are seeking a motivated research trainee to analyse historical genome-wide association studies (GWAS) data, with a focus on identifying sex-differential effects, heritabilities, and pleiotropies across a range of human diseases and anthropometric traits.
The successful candidate will work with data from large databases such as EGA, dbGaP, and ad-hoc consortia.
This position requires a strong background in computational analysis, programming, bioinformatics, and experience working with large genetic datasets.
About the EGA The EGA (European Genome-Phenome Archive, www.
ga-archive.
rg) is a resource for permanent secure archiving and sharing of human genomics.
We host more than 16 petabytes of data, that includes more than studies and datasets.
The EGA, co-managed by the CRG (www.
rg.
u) and the European Bioinformatics Institute (EBI, www.
bi.
c.
k), is an active partner in numerous international and national projects and contributes to establishing international standards in genomics and data security.
The EGA team at CRG is a diverse group (currently 20 people and steadily growing) composed of bioinformaticians, developers and scientists from various backgrounds.
Whom would we like to hire? Professional experience Must Have You have proven experience in working with large genomic datasets and bioinformatics tools Desirable but not required/ Nice to have You have 1-2 years of experience in computational biology, bioinformatics, or related fields Education and training You have a degree in life sciences and a MSc in bioinformatics or a related discipline Languages You are fluent in English Technical skills You have proficiency in programming languages such as Python, R, or Perl You have experience with statistical tools and software, such as PLINK, GCTA, or other GWAS analysis tools You have knowledge of working with large-scale genomic databases like EGA, dbGaP, or similar repositories You have experience in managing and processing large datasets using bioinformatics pipelines You have knowledge of genomic data formats (VCF, BED, etc.) and tools for manipulating them Competences Highly developed organizational skills Strong problem-solving abilities, particularly in the context of complex data analysis Excellent attention to detail, especially in data management and analysis Effective communication skills, both written and verbal, for collaborating with multidisciplinary teams Ability to work independently as well as in a collaborative research environment The Offer – Working Conditions Contract d uration.
6 months, with possibility of extension 6 months Estimated annual gross salary.
Salary is commensurate with qualifications and consistent with our pay scales.
Target s tart date.
as soon as possible 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.
Application Procedure All applications must include.
A motivation letter addressed to Dr Arcadi Navarro A complete CV including contact details.
Contact details of two referees.
All applications must be addressed to Dr.
Arcadi Navarro and be submitted online through the "Apply" button.
Selection Process Pre-selection.
The pre-selection process will be based on qualifications and expertise reflected on the candidates CVS.
It will be merit-based.
Interview.
Preselected 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 Human Resources department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.
Deadline.
Please submit your application by October .
This contract has received funding from the European Union's Horizon Europe under the grant agreement No
Detalles de la oferta
- Sin especificar
- En toda España
- Sin especificar - Sin especificar
- 18/10/2024
- 16/01/2025
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