Data Analysis Expert Bioinformatics Core Facility CF

The Bioinformatics / Biostatistics Unit collaborates with the IRB Barcelona’s community in the design and analysis of their experiments, either in vivo, in vitro or in silico. The unit is committed to providing a competitive advantage by developing tailored solutions and conducting methodological research. To do so, we engage in bioinformatics and statistical consulting from experimental design to publication, resulting in close collaborations with experimentalists in every stage of the way.

We have an outstanding record of publications in high impact journals and offer a unique environment for practicing the most exciting science.

IRB Barcelona is seeking a dedicated Data Analysis Expert to support our Biostatistics/Bioinformatics Core Facility. The successful candidate will participate in data analysis and methodology development for diverse data types and research projects. This role will take part in experimental design, data processing, analysis and interpretation of results, and will offer consultation for researchers at IRB Barcelona. Moreover, she/he will actively participate in teaching of statistics courses and will help setup and apply best practices for data management and reproducible science.

• Provide support in biological data analysis: process and analyze data from diverse platforms such as next generation sequencing, clinical databases, proteomics, single cell data, etc.
• Develop tailored solutions and cutting‑edge methodology for the analysis of data in collaboration with experimental researchers
• Provide access, manage information and analyze data from public databases such as dbSNP, 1000 genomes, GWAS, GEO, TCGA
• Provide statistical consulting to the IRB’s community

• Programming experience in R and Python for applied statistical analyses
• Experience in analyzing next generation sequencing data
• Experience in linear models and experimental design

• Master’s degree in Statistics, bioinformatics, computational biology or related fields

• Excellent use of written and spoken English
• Spanish and Catalan in professional setting

• Professional programming in R and/or Python
• Ability to apply statistical concepts to biological settings

• Excellent interpersonal and communication skills
• Ability to learn new biological concepts
• Ability to work in multiple projects simultaneously
• Highly motivated and collaborative person
• Willing to keep on learning
• Ability to work independently in a demanding research environment

• Experience in analyzing single cell or spatial data
• Experience in managing data according to best practices in the field
• Use of AI as an aid for programming, literature mining or analyzing of genomic data