意大利人类技术中心招聘博士后—癌症合成致死率预测与人工智能驱动靶点发现

意大利人类技术中心招聘博士后—癌症合成致死率预测与人工智能驱动靶点发现

Postdoc in Cancer Synthetic Lethality Prediction and AI-Driven Target Discovery

Employer

Human Technopole

Location

Milan (IT)

Salary

up to € 43.000,00

Closing date

1 May 2026

Discipline

Life Science

Job Type

Postdoctoral

Employment - Hours

Full time

Duration

Fixed term

Qualification

PhD

Sector

Academia

Job Details

Build the science that shapes the future of human health.

Application closing date: 01.05.2026

Join a place where ambitious science thrives

Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.

Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively to international initiatives and collaborates extensively across academia and industry. We offer a vibrant, inclusive, and highly interdisciplinary environment in which postdoctoral researchers lead high-impact projects, shape scientific strategy, and contribute to defining the future of data-driven cancer research.

We are seeking an ambitious Postdoc to be involved in a new project at the intersection of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive modelling of genetic interactions - and guiding the design of next-generation genetic interaction screens for anti-cancer target discovery.

Your mission

Lead innovative computational genomics research at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer.

Develop and apply scalable, reproducible computational methods for integrative analysis of large-scale perturbation and omics datasets, translating results into experimental strategies in close collaboration with wet-lab teams.

Drive scientific output and visibility through high-quality publications, conference presentations, and contributions to grants and open science resources.

Provide scientific leadership and collaboration, mentoring junior researchers and co-leading internal and external projects in alignment with strategic, funded research initiatives.

Grow your skills

You will enhance your scientific and professional skills by working on biology-driven experiments, including CRISPR and Perturb-seq, single-cell transcriptomics, and spatial-omics screens.

Human Technopole supports career development through training, mentoring and dedicated learning opportunities.

What you'll bring

Essential

Hold a Ph.D. in a relevant field (e.g., Computational Biology, Bioinformatics, Machine Learning, Systems Biology, Genomics, or a related discipline), or be in the final stages of Ph.D. completion.

Demonstrate a solid research background, supported by a track record of peer-reviewed publications in reputable scientific journals.

Proven experience with large-scale genomics or functional genomics datasets.

Strong programming skills in Python and/or R, with experience in version control (e.g., Git)

Familiarity with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow) applied to biomedical data.

Preferred

Familiarity with CRISPR-Cas9 or CRISPRi/a screening data, RNA-seq, single-cell or spatial transcriptomics data processing

Competence in acquiring, handling, and analysing large and complex datasets, including multi-omics and perturbation-response data, with a strong emphasis on data quality, reproducibility, and biological interpretability.

Practical experience in collaborative, hybrid settings, including direct interaction with wet-lab scientists, technicians, and experimental facilities to co-design and support integrated, computationally guided experiments (e.g., CRISPR-based screens, single-cell or spatial transcriptomics).

Experience with reproducible research environments (e.g., Docker, Snakemake, Nextflow).

Strong mathematical / statistics background

At HT, your discoveries contribute to a global effort to improve human health.

Why Human Technopole

HT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may benefit from attractive tax benefits. We promote work–life balance and provide parental support initiatives.

How to apply

Submit:

• CV

• Motivation letter (English)

• Contact details of two referees

This is a 4-year contract offered under CCNL Chimico Farmaceutico, Employee Level B2

Salary: up to € 43.000,00 depending on the candidate’ seniority.

The position is based in Milan, Italy, within our vibrant international campus.

We strongly encourage applications from candidates belonging to protected categories (L. 68/99).

The Foundation reserves the right, at its sole discretion, to extend, suspend, modify, revoke, or cancel this job posting without giving rise to any rights or claims whatsoever in favor of the candidates; the Foundation reserves, however, the right not to proceed with the awarding of the above-described assignment due to the effect of supervening regulatory provisions and/or obstructive circumstances.

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