2026_113_BIOINFORMATICIAN / DATA SCIENTIST

IGTP
Badalona, Spain
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Data Analysis AWK (Programming Language) Bash Shell Bioinformatics Linux Perl (Programming Language) R (Programming Language) Machine Learning Spatial Data Infrastructures Large Language Models Information Technology

Job description

The IGTP is seeking a bioinformatician / data scientist to fill an open position in the High Content Genomics and Bioinformatics Unit of the institute to carry out tasks related to the processing and analysis of massive data. The successful candidate will provide support in bioinformatic analysis of datasets mainly derived from microarray and deep sequencing experiments, and from biomedical data science projects. The institute is attached to one of the largest teaching hospitals in the Barcelona area, the Germans Trias i Pujol University Hospital (HUGTP), located on the surrounding biomedical Campus Can Ruti. The IGTP is a CERCA center; member of the biocluster supported and supervised by the Generalitat de Catalunya. It is also accredited as a Center of Excellence by the Instituto de Salud Carlos III (Spanish Government) and, in this sense, acts as an umbrella organization for scientific research on campus, where it works closely with other centers located there. Bioinformatics and, in particular, genomics is a research area shared by many research groups on the Can Ruti campus that make use of the services offered by the Unit.

FUNCIONES

  • Pre-processing and quality control of genomic data, including bulk, single cell and spatial data and microarray and next generation sequencing technologies.
  • Applying machine learning and artificial intelligence algorithms for classification of cell types and inference of functional status and text using large language models (LLMs).
  • Integrative analysis of clinical, medical imaging, histopathological, genomic, epigenomic, metagenomic, transcriptomic, metabolomic and/or proteomic data.
  • Communication with collaborators and core facility users and preparation of results reports.
  • Maintenance of data repository and documentation of procedures and bioinformatics tools to ensure reproducibility of analyses.

Requirements

  • Master with 120 additional ECTSn in bioinformatics / data science / bioengineering (or biomedical sciences or computer sciences with formal training in bioinformatics)
  • Good knowledge of the English language (read, written and spoken)
  • Demonstrable practical knowledge of computer programming languages: python, R, perl, bash, awk.
  • Experience as an advanced Linux system user.

The following requirements are highly desirable (will be valued):

  • Good knowledge of statistics, and use and/or development of bioinformatics and/or machine learning and/or artificial intelligence tools applied to massive data analysis.
  • Postgraduate training including baccalaureate (BS), master (MSc) or doctoral (PhD) degree studies or equivalent experience in the field .
  • Previous experience in data analysis in multidisciplinary research environments in biomedical settings.

Benefits & conditions

Pulled from the full job description Opportunities for advancement, * Indefinite contract (Science Law 14/2011) Full-time contract

  • 26.000 gross salary
  • Gross annual remuneration inherent to the square objected to this call, will be fixed based on the experience provided and the skills of the candidate, distributed in 12 payments.
  • Flexible payment (childminding vouchers and meal voucher).
  • 23 days holiday and 5 days for personal matters.
  • 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.

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