Oncology AI Scientist - Predictive Cancer Fate & Therapy

IFOM; Lombardia; On-site; EUR 70,000 - 100,000; Full time

Job summary

IFOM, the AIRC Institute of Molecular Oncology in Milan, seeks a talented AI scientist to develop and apply machine learning and generative AI to tackle cancer aggressiveness and metastasis. You will work within the institute-wide AI programme, collaborating with experimental and clinical groups to extract predictive biomarkers and therapeutic insights from multi-omics and imaging data.

The role offers a central position in a flagship AI initiative, access to rich multi-scale datasets, and

Qualifications

• PhD in computational biology, informatics, computer science or a related field with a strong record in AI/ML for biomedicine.
• Proven ability to integrate multiple data modalities and to apply modern deep learning methods.
• Experience with foundation, multimodal or spatial AI is highly desirable.
• Interest in integrating clinical and experimental datasets to interrogate tumour aggressiveness, early metastasis and therapy resistance.

Responsibilities

• Develop AI/ML models that integrate single-cell, spatial omics, genomics, epigenomics, proteomics and imaging data.
• Decode tumour fate from diagnosis onward to identify determinants of indolent vs. aggressive behaviour.
• Translate model outputs into predictive biomarkers and actionable hypotheses for precision therapy.
• Build shared AI infrastructure, pipelines, benchmarks and reproducible workflows for IFOM's collaborations.

Skills

AI/ML in biomedicine

Foundation models experience

Multimodal/spatial AI

Data integration

Biomedical data analysis

Education

PhD in computational biology / informatics / computer science

Tools

CRISPR/Cas9

Job description

IFOM, the AIRC Institute of Molecular Oncology in Milan, seeks a talented AI scientist to develop and apply machine learning and generative AI to tackle cancer aggressiveness and metastasis. You will work within the institute-wide AI programme, collaborating with experimental and clinical groups to extract predictive biomarkers and therapeutic insights from multi-omics and imaging data.

The role offers a central position in a flagship AI initiative, access to rich multi-scale datasets, and