Computational Scientist Roles

The GarMiglio Lab led by Dr. Luciano Garofano and Dr. Simona Migliozzi at The Translational Genomics Research Institute is an interdisciplinary research group aimed at understanding the molecular mechanisms of cancer progression, metastasis, and resistance to therapy in solid tumors, with particular focus on adult and pediatric brain tumors, lung, breast, melanoma, and brain metastasis.

Our groups combine patient biospecimens, computational approaches, and experimental models to dissect cancer heterogeneity, identify functional and clinically relevant tumor subtypes, and extract targetable molecular nodes, with the final aim of developing more effective therapies that improve survival outcomes for cancer patients.

Ongoing projects include:

• Dissecting glioma ecosystem during evolution
• Role of neurons-cancer crosstalk in non-CNS tumor progression
• Reconstructing the spatiotemporal proteomic mosaicism in pediatric brain tumors

We are looking for talented researchers to develop computational pipelines and implement analytical models to integrate multi-omics data. Candidates with expertise in machine learning approaches and reconstruction of gene/protein regulatory networks, and with knowledge of or strong interest in cancer biology, are encouraged to apply.

The successful candidate will take a leadership role in ongoing projects as well as develop new research ideas. Specific duties will include data analysis, interpretation of results, presentation of findings, and preparation of peer-reviewed manuscripts and grant proposals.