Bioinformatics Staff Scientist

IFOM is an internationally recognized non-profit cancer research institute supported by the Italian Association for Cancer Research (AIRC) based in Milan within a highly dynamic urban environment IFOM continuous success is ensured by the recruitment of highly selected undergraduate, graduate, and post-graduate researchers from over 24 countries worldwide. IFOM is hosted within a research campus shared with the European Institute of Oncology and the Italian Institute of Technology. IFOM is committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal job opportunities to all qualified candidates.

Bioinformatics Staff Scientist

The candidate will operate within the laboratory of Prof. Bardelli, full professor at the University of Turin and scientific director of IFOM institute in Milan. The Bardelli’s laboratory is a dynamic and multidisciplinary group encompassing computational biologists, biotechnologists and physicians with extensive national and international collaborations. Our research focuses on identifying novel therapeutic opportunities for patients with colorectal cancer. Test the hypothesis that therapeutic inactivation of DNA repair pathways in cancer cells can be exploited for patient benefit by reawakening anti-tumor immune responses. The candidate will work in close collaboration with wet-lab researchers, providing computational support and contributing to both collaborative and independent research projects. The candidate will develop and implement custom computational methods and analytical pipelines to address these research objectives, leveraging innovative data-driven and quantitative approaches. Our research focuses on identifying novel therapeutic opportunities for patients with colorectal cancer.

Test the hypothesis that therapeutic inactivation of DNA repair pathways in cancer cells can be exploited for patient benefit by reawakening anti-tumor immune responses. The candidate will work in close collaboration with wet-lab researchers, providing computational support and contributing to both collaborative and independent research projects. The candidate will develop and implement custom computational methods and analytical pipelines to address these research objectives, leveraging innovative data-driven and quantitative approaches.

Wide experience in the analysis of next-generation sequencing (NGS) data; experience in the analysis of other “omics” data types is a plus.Strong background in cancer biology, with demonstrated experience in translational or biomedical research contexts; Solid knowledge of statistics and applied mathematical methods for data analysis; Python, R, Bash; experience with C/C++ or similar languages is a plus); High confidence in Linux-based systems, including command-line environments. Previous usage and/or development of methods for machine learning and artificial intelligence; Experience in managing computational infrastructures, including servers and/or HPC environments (e.g. job schedulers, resource management, storage systems); Basic to intermediate knowledge of IT infrastructure and security best practices (user management, access control, data protection, backups, compliance with data governance policies);

PhD in bioinformatics, computational biology, computer science, applied mathematics, data science, engineering (computer engineering, biomedical engineering) or in a closely related quantitative discipline within life sciences (Biology, Biological Science, …);

Languages Proficiency in English, with strong written and verbal communication skills.

Proven ability to work effectively in multidisciplinary teams bridging biology, computation, and clinical research; Flexible, problem-solving–oriented mindset, with the ability to adapt to changing project requirements; Excellent project management skills, including coordination of computational analyses across multiple projects; continuous training; relocation cost support; Medical Service; Caf service- tax declaration; Lab G: it is a lab specifically designed for pregnant or breastfeeding women researchers.

Type of contract Permanent contract, full time

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