Post-Doctoral Researcher for Developmental GTEx

Centre for Genomic Regulation; Barcelona; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

An international biomedical research institute in Barcelona is looking for a Post-Doctoral Researcher specializing in Computational Biology. The position focuses on genome annotation and understanding transcriptomic and phenotypic traits. Applicants should have a PhD and strong programming skills, particularly in R or Python. The role offers a technical contract of approximately 20 months, with a salary based on qualifications. Applications are welcome until January 8th, 2026.

Servicios

Flexible working hours

Extended vacation period

Highly stimulating environment

Formación

• Strong background in Computational Biology.
• Experience with quality control and QTL analysis is a plus.
• Background in statistical/machine learning methods is advantageous.

Responsabilidades

• Contribute to genome annotation of different primate species.
• Implement computational methods assessing transcriptomic-phenotypic traits.

Conocimientos

Programming in R or Python

Experience in omics data analysis

Project management

Interdisciplinary research

Educación

PhD in Bioinformatics, Biology, or related fields

Herramientas

PostgreSQL

TensorFlow

Pytorch

Nextflow

SnakeMake

Descripción del empleo

Post-Doctoral Researcher for Developmental GTEx

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.

The Developmental Gene‑Tissue Expression Project, dGTEx, aims to uncover molecular processes in postnatal development as well as genetic and non‑genetic sources of inter‑individual molecular variation, with the ultimate goal of better understanding human biology and disease. We will achieve these goals by developing novel and innovative analysis methods and approaches applied to multimodal Developmental GTEx data types from both bulk and single‑cell tissue analyses. We have chosen to focus on the human dGTEx data, but a selected subset of the approaches proposed here will be applied to non‑human primates as well.

We are searching for a talented post‑doctoral researcher with a strong background in Computational Biology and a very good understanding of biological concepts to join the group. In particular, the researcher will contribute to the accurate annotation of the genomes of different primate species and will also participate in the implementation of computational methods to assess the causal relationship between transcriptomic and phenotypic traits.

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 background in Computational Biology
• Very good understanding of biological concepts
• Experience in the analysis of large‑scale omics data, specifically (single cell/bulk) RNAseq. Experience with 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
• 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 20 months)
• 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.

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 January 8th, 2026.

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.

This project has received funding from the National Human Genome Research Institute (NHGRI).