PhD in Molecular, Experimental and Computational Medicine (MECM)

The PhD Programme in Molecular, Experimental and Computational Medicine (MECM), developed by Humanitas University in collaboration with IRCCS Istituto Clinico Humanitas, offers advanced interdisciplinary training in molecular medicine, translational research, and data science.

Combining theoretical education with hands-on experience, the programme prepares students to tackle biomedical challenges through innovation, precision medicine, and the integration of research and clinical practice.

The PhD program, developed in collaboration with IRCCS Humanitas, offers top-tier interdisciplinary training across various fields of life sciences and molecular medicine. It combines theoretical knowledge and practical experience in a highly stimulating environment. Students have access to cutting-edge technologies and real clinical cases, with the goal of deepening their understanding of the molecular mechanisms underlying diseases, developing innovative diagnostic and therapeutic strategies, and promoting translational research and the practical application of acquired knowledge.

The program includes specific training in biomedical technologies for big data analysis, with a focus on omics techniques (genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics, radiomics), systems biology approaches, imaging and flow cytometry methods, and the analysis of data from electronic health records. These tools equip students with key competencies for integrated analysis of complex datasets, which are essential to address the challenges of modern medicine.

The program’s approach is designed to provide advanced and comprehensive education in experimental and computational medicine, preparing PhD students to become leaders in biomedical research, capable of tackling pressing healthcare challenges through scientific innovation and precision medicine.

The PhD program is conducted in a highly stimulating environment that fosters interaction among different scientific disciplines and encourages international collaboration. Students have the opportunity to engage with world-renowned experts and researchers, participate in multidisciplinary projects, and develop strong scientific independence. The emphasis on hands-on experience, combined with ongoing research innovation, allows students to acquire essential skills to face the challenges of a constantly evolving scientific landscape.

Three different curricula are available, candidates are required to specify their curriculum preferences when applying:

1. MECM Standard

The experimental PhD track is designed to train highly qualified researchers in biological sciences and medicine, with a strong focus on understanding the molecular mechanisms underlying diseases and developing innovative therapeutic strategies. This curriculum adopts a multidisciplinary approach, integrating genetics, biochemistry, and pharmacology, and leverages cutting-edge technologies such as genomics, proteomics, metabolomics, systems biology, and molecular imaging. Doctoral candidates will work in state-of-the-art laboratories, where they will develop experimental skills with a particular emphasis on translational research, aiming to accelerate the application of scientific discoveries to diagnosis and treatment. Students are immersed in a highly stimulating environment that promotes both research autonomy and collaboration with fellow researchers and healthcare professionals, applying theoretical knowledge to real experimental and clinical contexts.

2. MECM Clinical

The MECM-Clinical track is designed to integrate experimental research (such as cellular and molecular biology, informatics, and the use of preclinical models for translational studies) with direct clinical practice, including patient enrollment and evaluation in dedicated studies. The program combines hands-on hospital experience under the supervision of a physician with at least 24 hours per week of experimental research in the laboratory. PhD candidates will be directly responsible for managing research projects approved by their clinical and/or laboratory supervisors. This interdisciplinary approach enables students to develop advanced skills in both scientific research and clinical practice, with the goal of rapidly translating discoveries into diagnostic and therapeutic innovations.

3. MECM Data Science

The Data Science track is designed to synergistically integrate experimental research—both basic and clinical—with the advanced competencies of a data scientist. Its main objective is to provide students with comprehensive training in the analysis and interpretation of data from multiple sources, including omics technologies, imaging, and flow cytometry. PhD candidates will develop cross-disciplinary skills ranging from statistics to bioinformatics, mastering advanced techniques for the analysis of large and complex datasets. They will gain experience in the use of bioinformatics tools and software, statistical methods for data processing, predictive and diagnostic modeling, and algorithm development for data management and interpretation. This training path prepares graduates to become experts in handling complex data, with direct impact on research, the development of novel diagnostic and therapeutic tools, and the implementation of advanced clinical applications.