Research Officer For The Bioinformatics / Biostatistics Unit

Detalles de la oferta

Research Officer for the Bioinformatics / Biostatistics Unit Bioinformatics / Biostatistics Core Facility
Deadline: 12/12/2024
Centre / Institution: Institute for Research in Biomedicine (IRB Barcelona)
Your Role & Our Team
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. We engage in bioinformatics and statistical consulting from experimental design to publication, resulting in close collaborations with experimentalists at every stage. 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 Senior Research Officer 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. The Officer will help supervise junior members of the Unit, visiting students, and will offer consultation for researchers at IRB Barcelona. Moreover, she/he will actively participate in the generation of material and teaching of statistics courses and help set up and apply best practices for data management and reproducible science.
Key Responsibilities
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.
Implement and develop methodologies for analyzing single cell RNAseq data.
Design material for statistics courses.
Supervise junior members and visiting students.

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