Research Hpc Engineer

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.
We seek for our Institute : Research HPC Engineer




About the Position
IFOM is seeking a Research HPC Engineer to support our growing Research Computing Infrastructure serving cutting‑edge cancer research programs. This position will work closely with faculty and research staff to manage and optimize scientific computing environments, including HPC clusters and specialized research servers supporting genomics, imaging analysis, and clinical data workflows, both on‑premises and in the cloud.
The ideal candidate will bring strong experience and skills in HPC environments, particularly with Linux and container solutions, and thrive in a dynamic research setting. You’ll join the Research Computing & Data Science unit with opportunities for professional growth and increasing responsibility as we expand our computational capabilities.
This position plays a critical role in enabling world‑class cancer research through reliable and high‑performance computational infrastructures.
We are looking for a resource with at least 5 years of experience.




Candidate will be responsible for:
Administer and support on‑premises HPC SLURM clusters and research servers;
Design and manage containerized environments (Kubernetes, Singularity / Apptainer, Docker) for applications, services, and scientific workflows;
Optimize compute and storage configurations for scientific workloads;
Support hybrid infrastructure including both local and cloud‑based environments;
Develop automation using scripting and configuration management tools;
Contribute to system lifecycle planning, capacity management, and resource optimization;
Provide technical support for research computing projects and scientific applications;
Experience with scientific workflow management tools (e.g., Nextflow, Snakemake)



and interest in AI‑driven computational environments will be considered an asset;
Provide support, training and documentation for researchers using HPC / cloud resources;
Collaboration Interface: with IT department on infrastructure integration; with research teams on computational requirements; with computational biologists, data scientists, and bioinformaticians to support them for large‑scale data analyses;
Maintain system security and compliance, including GDPR and regulated data types;
Network Storage & Data