25-08-2026

Research Technician (University degree in Biomedical Engineering. Complementary training in artificial intelligence, data science, computational analysis or bioinformatics. Specific training in biomedical research, computational biology or precision medicine will be valued).

Ref.:

FIMIM3308-COLOME

Institution:

FUNDACIÓ IMIM

Researcher/s responsible for the project:

Maria Colome Tatche

Project title:

ATRAE 2024 Program Project (ATR2024-154840)

Research group / Service:

Computational epigenomics Research Group

Description:

The selected person will join the Computational epigenomics Research Group (Biomedical informatics research program).

Task:

We are opening a call for candidates to join our interdisciplinary research group developing computational methods for single-cell data analysis, with a focus on single-cell epigenomics. The position is ideal for candidates with strong quantitative skills who are highly motivated to advance methods for the integration and interpretation of single-cell multi-omic datasets. - Development of statistical and machine learning methods for the integration of multi-omic data from individual cells (e.g., scRNA-seq, scATAC-seq, methylation). - Integration of genomic and epigenomic information at single-cell resolution to characterize regulatory states and cellular identity. - Analysis and interpretation of copy number alterations and chromosomal aberrations in individual cells, including robust inference, visualization, and subsequent biological interpretation. - Integrative analysis of genomic and epigenomic data at single-cell resolution using bioinformatics tools and artificial intelligence methodologies. - Design, implement, and validate innovative computational methods. - Apply methods to real single-cell epigenomic datasets and work closely with experimental collaborators. - Write high-quality, reproducible code and maintain documentation. - Prepare manuscripts, present results at conferences, and contribute to grant proposals and collaborative projects.

Formation:

Bachelor's degree in Biomedical Engineering. Supplementary training in artificial intelligence, data science, computational analysis, or bioinformatics. Specific training in biomedical research, computational biology, or precision medicine will be valued.

Experience:

Development of computational methods for the analysis of genomic and single-cell data, with a solid statistical background. Experience with single-cell genomics/epigenomics data and common analysis tools and formats. Previous work in multi-omics integration, chromosomal copy number analysis, single-cell epigenomics (scATAC, single-cell methylation), and deep learning for genomics. Experience in high-performance computing and version control (git). Training in statistical modeling, machine learning, or algorithm development. Excellent communication skills and ability to work collaboratively in a multidisciplinary team.

Knowledge:

High competence in English. Strong programming skills in Python, R, Bash, and C++. Solid background in statistics and machine learning.

Contract:

Indefinit d’activitats cientifico-tècniques 12p

Schedule	Retribution	Hire date
Part-time (36 hours/week)	28285.49 € bruts anuals	September 2026