JOB DESCRIPTION
The selected candidate will join the Grup de Recerca Neuromuscular de Badalona (GRENBA), an interdisciplinary team at the IGTP. GRENBA combines clinical, experimental, and computational approaches to advance research on rare neuromuscular diseases, with a particular focus on myotonic dystrophy type 1 (DM1). The fellow will contribute to our research program analyzing biological samples from DM1 patients enrolled in the DM1-Hub, Spain’s national patient registry. At GRENBA, we apply long-read sequencing technologies to investigate the repetitive region associated with DM1, and we use bioinformatics and biostatistics to refine patient stratification and deepen understanding of disease pathophysiology. In addition, the candidate will design and implement innovative transcriptomic and metabolomic methodologies and multi-omics integration approaches to uncover novel mechanisms underlying DM1 and related neuromuscular disorders. QUALIFICATIONS AND EXPERIENCIE
Essential: MSc (or equivalent) in Bioinformatics, Computer Science, Biomedical Engineering, Biomedicine, or closely related field. Have a minimum average grade of the academic record for undergraduate studies or of the equivalent degree equal to or greater than 8.5 (scale from 0 to 10). Strong programming language skills relevant to data management (e.g., R, Python, Bash) Competencies and skills: Communication, Teamwork and collaboration, Commitment, Proactivity, Integrity, Critical and Analytical thinking. High level of Spanish and English, written and spoken. Catalan is a plus. Advantageous:
Hands‑on experience with experimental workflow management software (e.g., Nextflow, Snakemake), HPC clustering, data repositories, long‑read sequencing, or genomics and transcriptomics. Scientific writing and presentation skills, as evidenced by peer‑reviewed publications and conference contributions. International experience. WHAT WE OFFER
The candidate can be only incorporated with an obtention of a FPU-2026, FI-AGAUR-2026 or similar. Pre‑doctoral contract. Full‑time contract (1628h/year). Flexible payment (childminding vouchers + restaurant ticket). 23 days holiday and 5 days for personal matters + 2 days for Easter + 2 days for Christmas (pro‑rated based on contract). Training capsules by the company. Be part of an excellent multidisciplinary research centre with the HRS4R badge. Location on the Can Ruti Campus, a first‑class translational research environment in the Barcelona area, in a very stimulating scientific environment. The IGTP offers a supportive, friendly and collaborative ecosystem to promote professional development and help you achieve your research goals. HOW TO APPLY
Candidate must comply with the
FPU 2026
and
FI-AGAUR Predoctoral Fellowships 2026
eligibility criteriaset by the call: At the time of joining the host institution and commencing the contract that is the subject of the grant, candidates must hold a bachelor’s or university degree with at least 300 ECTS credits (European Credit Transfer and Accumulation System), and a university master’s degree, or an equivalent qualification. If the studies leading to the doctorate are a bachelor’s degree, they must be completed at the time of application submission and with the required minimum grade. At the time of applying, candidates may not have received in previous calls any aid for the recruitment of predoctoral research personnel in training (FI or FPU) or any grant for the recruitment of predoctoral research staff in training in the departments of universities of the university system of Catalonia (FI SDUR). Nor can they have enjoyed more than 6 months of any other specific contract for predoctoral research personnel in training. Nationality: Any. DEADLINE FOR APPLICATIONS
MAIN RESPONSIBILITIES
The research project will focus on the comprehensive characterization of the molecular pathophysiology of the patients within the DM1-Hub registry. The specific tasks and responsibilities include: Bioinformatic processing and analysis of long‑read genetic data, including the development or adaptation of pipelines to study repetitive and epigenetically regulated regions. Integration of multi‑omics data, including transcriptomic and metabolomic datasets, to investigate disease mechanisms and identify potential biomarkers. Develop or adapt scripts to facilitate data analysis workflows. Maintain accurate experimental records and document results in a reproducible format. Collaboration with clinical and experimental teams to ensure translational relevance of the findings and contributions. Preparation of scientific publications, conference presentations, and reports derived from the project outcomes. RESOLUCION #J-18808-Ljbffr