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' (https://www.crg.eu/en/content/careers/hr-excellence-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 ( https://euraxess.ec.europa.eu/jobs/charter/european-charter) and the Code of Conduct for the Recruitment of Researchers (Charter and Code) ( https://euraxess.ec.europa.eu/jobs/charter/code).
Please, check out our Recruitment Policy: https://www.crg.eu/sites/default/files/crg/crg_recruitment_policy.pdf
The role PrecisionTox is an European funded project, the overarching aim of which is to establish a new, 3Rs- compliant (Replacement, Reduction, Refinement), cost-effective testing paradigm for chemical safety assessment — Precision Toxicology — that revolutionises regulatory toxicology, replaces animal testing, reduces uncertainty, and determines safety factors in assessing risks to human health. This goal will be accomplished by identifying molecular key event (KE) biomarkers, predictive of chemically induced adverse health effects in humans, that feed directly into regulatory and industry practice via the systematic use of distantly related animal species from across the tree of life and the highly interdisciplinary mix of genomics, metabolomics, evolutionary theory, quantitative genetics, data science, toxicology, and law.
Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species (Danio, Xenopus, Caenorhabditis, Daphnia and Drosophila),human cell lines and organoids after treatment with selected putative cardio, neuro, and hepatotoxic compounds emerging from other efforts within PrecisionTox. Our aim is to employ existing and develop novel computational approaches to assess the impact of the chemical compounds on gene expression or co-expression networks across the model species and explore their predictive potential for human toxicity assessment. This project fits overall within a larger overarching goal in our group of developing methods to relate genome to phenome across the tree of life.
We are searching for a talented post-doctoral researcher with a strong computational background to join the group.
About the lab The overarching theme of the research in our lab is the understanding of the information encoded in genomic sequences, and how this information is processed in the pathway leading from DNA to protein sequences. More specifically, we are interested in the epigenetic regulation of gene expression and RNA processing, the relationship between molecular phenotypes and higher order endophenotypes and organismal phenotypes, and the identification of functional regions on the genome of all living beings. Our group is mostly computational, and we do both large-scale data analysis and development of methods, but it has also an important experimental component. We participate in many large scale international functional genomics projects, such as ENCODE, GTEx, BluePrint and others.
Whom would we like to hire? Professional experience Must Have:
Strong computational background
Experience in the analysis of large-scale omics data, specifically (single cell/bulk) RNAseq. Experience with metabolomics data analysis or QTL analysis and quality control would be a plus
Experience in the development and/or implementation of algorithms and/or computational pipelines
Background/experience in building statistical and/or machine learning methods, in particular for data integration tasks, would be a plus
Previous experience in building and interacting with relational databases (e.g., PostgreSQL) and APIs would be a plus
Education and training
PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics, Mathematics, Chemistry or related areas
Languages:
Highly proficient in both spoken and written English
Technical skills:
Strong programming skills in R or Python. Additional experience in, for example, C, C++, MATLAB, or Julia would be a plus
Data visualisation
Bash scripting in a Linux environment, ideally tailored to an HPC infrastructure
Multivariate statistics
Containerized workflows and DSLs, e.g.: Nextflow, SnakeMake,
Familiarity with deep learning libraries like TensorFlow and Pytorch would be a plus
Collaborative tools
Competences
Project management
Interdisciplinary research
Capacity to work independently, but also ability to interact with others, both with colleagues within the group and from the project consortium
Good (academic) writing and presentation skills
Imagination, Motivation, Curiosity, Pro-activity, Independence, Critical thinking
The Offer – Working Conditions Contract duration: technical and scientific activities contract linked to the project estimated until 31/01/2026
Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
Target start 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.( https://www.crg.eu/en/content/training).
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 Roderic Guigó
A complete CV including contact details.
Contact details of two referees.
All applications must be addressed to Dr. Roderic Guigó and be submitted online on the CRG Career site – http://www.crg.eu/en/content/careers/job-opportunities
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 People department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.
Deadline: Please submit your application by June 30, 2024.
Suggestions: The CRG believes in ongoing improvement and promotes a culture of feedback. This is one of the reasons we have in place, at your disposal as a candidate, a mechanism to gather your suggestions/complaints concerning your candidate experience in our recruitment processes. Your feedback really matters to us in our aim at creating a positive candidate journey. You can make a difference and help us improve by letting us know your suggestions through the following form. https://recruitment.crg.eu/webforms/recruitment-contact-form-suggestionscomplaints
This contract is Supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 965406
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