Technician for the Computational Cancer Genomics Group

CNIO - Spanish National Cancer Research Centre; Madrid; On-site; EUR 26,000 - 29,000; Full time

Benefits offered by this job

Social benefits

Flexible compensation (healthinsurance

Meals

Transport

Childcare

Job summary

CNIO – Spanish National Cancer Research Centre is seeking a highly motivated Bioinformatician to join the Computational Cancer Genomics Lab. You will analyze large-scale multi-omics and cancer genomic datasets to understand how p53 mutations alter tumor progression in different contexts, contributing to precision cancer therapies.

The ideal candidate holds a Master’s degree and has hands-on experience with NGS data, statistical modeling, and scalable pipelines in an HPC environment.

Qualifications

• Master’s degree in a quantitative field.
• NGS data analysis on large-scale sequencing data.
• Development of computational models for biological data.
• Build and scale bioinformatics pipelines for high-throughput data.
• Experience in cancer genomics and somatic mutation analysis is a plus.
• Proficiency in R and Python.
• Experience with HPC environments and workflows.
• Excellent English communication in writing and speaking.

Skills

NGS data analysis

Statistical modeling

Pipeline development

Cancer genomics

R

Python

Sequencing data analysis

HPC

Workflow management

English proficiency

Education

Master’s degree in Bioinformatics, Computational Biology, Statistics, Computer Science, Genomics, or related field

Job description

• Reference: TECCCG26III
• Start date: 27/10/2026 0:00:00
• Expiration Date: 05/11/2026 23:59:00

The Computational Cancer Genomics Lab investigates condition-specific mechanisms of tumor progression through the analysis of large-scale cancer genomics data. We are currently seeking a highly motivated Bioinformatician to join our team. In this role, you will analyze large-scale multi-omics and cancer genomic datasets. Our ultimate goal is to unravel how cancer driver genes—with a primary focus on p53 mutations—alter their mode of action depending on specific mutational contexts, paving the way for improved precision cancer therapies.

Selection Criteria

• Master’s degree (or equivalent experience) in Bioinformatics, Computational Biology, Statistics, Computer Science, Genomics, or a related quantitative field.
• NGS Data Analysis: Practical experience in processing, quality control, and analysis of large-scale sequencing data (e.g., WGS, WES, RNA-seq).
• Statistical & Computational Modeling: Proven track record of developing computational or statistical models for biological data interpretation.
• Pipeline Development: Experience in building, automating, and scaling bioinformatics pipelines for high-throughput genomic data.
• Cancer Genomics: Prior research experience in cancer genomics, somatic mutation analysis, or structural/position-specific variant interpretation is a strong plus.
• Programming Languages: Proficiency in programming languages commonly used in bioinformatics, such as R, Python, or equivalent languages.
• Sequencing Data Analysis: Hands-on experience in processing and analyzing large-scale sequencing data.
• Computing Environment & Workflows: Familiarity with High-Performance Computing (HPC)/supercomputing cluster environments and workflow management systems.
• Excellent written and verbal communication skills in English are required. All application materials, including a detailed CV, must be submitted in English.

The CNIO Offers

• Joining an internationally renowned Research Centre.
• Gross annual salary between €25,874 and €28,561.
• Social benefits. Flexible compensation (health insurance, meals, transport, childcare).
• Contract linked to a project.