Bioinformatician in Microtubule Function and Cell Division

We are recruiting a bioinformatician to turn experimental biological data into reliable analyses that guide research decisions. The selected candidate will work with researchers to organize and quality check datasets, develop reproducible scripts and workflows, analyse results, and communicate findings clearly to experimental colleagues. Initial work is expected to involve analysis of variation in gene expression and genetic variants in the TTLL and CCP tubulin modifying enzymes and their partners and regulators. The successful candidate will document code and methods so that analyses can be reviewed, reused and extended within the group.

• Build and maintain documented analysis workflows for the group's biological datasets, including data cleaning, quality control, visualization and reporting
• Work with experimental researchers to define analysis plans, interpret results and identify follow-up experiments
• Contribute to statistical analyses and, where appropriate, predictive models, with suitable validation and clear reporting of limitations
• Maintain organized code, data and metadata, and help colleagues use shared analyses reproducibly

• Contract duration: Technical and scientific activities contract linked to the project with an estimated duration of 2 years.
• Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.
• Target start date: November 2, 2026

We provide a highly stimulating environment with state-of-the-art infrastructures, and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section.

We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

The CRG is committed to reconcile a work and family life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.

• Proficiency in Python or R and practical experience with data handling, visualization and versioned or otherwise traceable analysis. Experience in laboratory methods, experimental design, or RNA and synthetic biology research is an advantage
• Careful data handling and attention to quality; collaborative communication with experimental colleagues; independent problem solving; clear documentation; ability to prioritize and deliver agreed analyses
• Highly developed organizational skills