Post-Doctoral Researcher for Precision Tox

Centre for Genomic Regulation; Barcelona; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A renowned research institute in Barcelona is seeking a Post-Doctoral Researcher for the Precision Tox project. The candidate will analyze large-scale omics data to develop innovative toxicity prediction models. This role promises a dynamic and multidisciplinary work environment with opportunities for professional growth.

Servicios

Flexible working hours

Extended vacation period

Diverse and inclusive environment

Formación

• Strong computational background in biology or bioinformatics.
• Experience with RNA-seq analysis and statistical modeling.
• Capable of working independently and collaboratively.

Responsabilidades

• Integrate and analyze transcriptomic data for toxicity prediction.
• Implement computational models to assess chemical safety.
• Contribute to interdisciplinary research projects.

Conocimientos

Computer programming

Data analysis

Machine learning

Statistical analysis

Educación

PhD in Bioinformatics

PhD in Biology

PhD in Statistics

PhD in Physics

PhD in Chemistry

Herramientas

Python

R

PostgreSQL

Nextflow

TensorFlow

Descripción del empleo

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Post-Doctoral Researcher for Precision Tox

Post-Doctoral Researcher for Precision Tox

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.

PrecisionTox is a 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. The postdoctoral researcher will be responsible for the integration of the transcriptomic data and the other datasets generated during the project as well as for the implementation of models to predict toxicity in humans based on the common features observed in the different organisms upon compound exposure.

About Guigo’s 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?

Must Have :

Strong computational background

Experience in the analysis of large-scale omics data, specifically (single cell/bulk) RNAseq

Experience in the development and/or implementation of algorithms and/or computational pipelines

Background /experience in building s tatistical and/or m achine l earning methods, in particular for data integration tasks, would be a plus

Experience with metabolomics da ta analysis or QTL analysis and quality control 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, Ma chine Learning, Statistics, Physics , Mathematics, Chemistry o r 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

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

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 duration 11.5 months).

E stimated 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 .

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

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 July 31 , 2025.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 965406.