Postdoctoral position for Computational Biologist
Position for one computational Postdoc is available in the laboratory of Dr. Luigi Nezi at European Institute of Oncology in Milan (Italy). Our Lab aims to develop innovative approaches in cancer prevention and therapy by manipulating the microbiome. We have reported the causality between diversity and composition of the gut microbiome at baseline and therapeutic outcome in patients of melanoma who were treated with immunotherapy (Science 2018). Moreover, our recent studies showed that compositional peculiarities of the tumor microenvironement drive infiltrating T cells into a metabolic dysfunctional state (J Ex Med 2020). In the proposed project we will integrate metagenomic, metabolomic and functional data from multiple sources to decode the interplay between the microbiome and the host’s immunesystem during tumor progression and response to therapy. The candidate will have the possibility to actively interact with worldwide-recognized experts in microbiome and immunological analisys, to learn and develop new pipelines.
As part of your project you will:
- develop computational approaches to analyze and integrate metagenomic , transcriptomic and metabolomics data from humans;
- build a model to identify biotic and abiotic bacterial components to elicit a systemic antitumor response;
- interact with a team that will validate findings in vitro and in vivo pre-clinical mouse models.
Overall, the results of this study will better inform the design of new strategies for cancer prevention and treatment.
Skills covered in this project:
- 16S sequencing,
- Metagenomic whole (shotgun) genome sequencing
- Genomic and transcriptomic analysis
- Metabolomic analysis
- Multiparametric Analysis of immunological data
- Imaging analysis
The candidate should hold a PhD degree in Bioinformatics or a similar discipline with a computational or mathematical focus (computer science, physics, mathematics). She/He should have experience in developing efficient algorithms, ideally in the disciplines of optimization, network science or machine learning. Good programming skills are required both in a higher programming language (such as Java or C++) and in R.
The researcher should have experience in working with cancer omics data. Expertise in analyzing metagenomic and metabolomic data is a plus. Scientific understanding of general research questions in molecular and cancer biology is required. Competitive salary based on professional experience.
Please submit your completed application, including your CV, a short statement of research background/interests, and two references