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Bioinformatics staff scientist

Varese
IFOM
Pubblicato il 19 aprile
Descrizione

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.

Qualsiasi informazione aggiuntiva su questo lavoro è disponibile nel testo sottostante. Si assicuri di leggere attentamente, quindi invii la sua candidatura.
IFOM continues to achieve success by recruiting highly selected undergraduate, graduate, and post‑graduate researchers from over 24 countries worldwide, and 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 laboratory is a dynamic and multidisciplinary group encompassing computational biologists, biotechnologists and physicians with extensive national and international collaborations.
The research focuses on identifying novel therapeutic opportunities for patients with colorectal cancer. In particular, we aim to:

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.
Characterise tumour evolution and cancer cell plasticity to identify novel vulnerabilities and therapeutic strategies aimed at preventing tumour recurrence.

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.
Qualifications

Wide experience in analysing next‑generation sequencing (NGS) data; experience with 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.
Strong programming skills (e.g. Python, R, Bash; experience with C/C++ or similar languages is a plus).
High confidence in Linux‑based systems, including command‑line environments.
Familiarity with tools for workflow management and versioning (Snakemake, Nextflow, conda, git, docker, etc).
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).

Education
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.
Soft 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.
Good interpersonal, organisational, and communication skills, with a strong aptitude for independent responsibility and technical leadership.

What we offer

International work environment; continuous training; flextime; relocation cost support; guest house inside the campus.
Agreements with discounts for gym, pharmacy, psychology service and various shops around IFOM area; bar and canteen inside the campus & lunch benefit.
Company nursery; medical service; laptop; cafeteria service – tax declaration; lab G, specifically designed for pregnant or breastfeeding women researchers.

Type of contract
Permanent contract, full time. xjrgpwk
Location
Milan, Italy.
This job advertisement is addressed to both genders in accordance with Laws 903⁄77 and 125⁄91 and to individuals of all ages and nationalities in accordance with Legislative Decrees 215⁄03 and 216⁄03.
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