A position as bioinformatic fellow is available in the Laboratory of “Hormone-Related Cancers and Stem Cell Pathobiology” at the European Institute of Oncology (IEO, Milan, Italy) headed by Prof. Salvatore Pece. Focus of Pece’s Lab is the resolution of the heterogeneity of the tumor ecosystem and harness this knowledge to identify novel therapeutically actionable vulnerabilities and predictive prognostic biomarkers for patient stratification to advance a framework for precision oncology, in particular in the breast, bladder and prostate cancer disease. Paramount to this end is the enduring liaison and collaborative effort of the Lab with the clinical activities of the IEO Hospital in Milan.
Our projects usually start from explorative studies in densely clinico-pathologically phenotyped retrospective longitudinal cohorts of real-life patients, followed by in vitro and in vivo preclinical studies in physiopathologically relevant and experimentally tractable models, integrated with multi-layered omics, single cell dynamics, including multiplexed immuno-histochemistry/immunofluorescence technologies and in situtranscriptomic analyses, combined with high-end computational biology approaches.
We are currently looking for a highly motivated candidate with a strong biological background and bioinformatic skills to be trained and to collaborate on the laboratory data analysis efforts and computational infrastructure with the ultimate goal to identify and develop algorithms and risk models for patient stratification for prognosis and therapy response prediction.
The ideal candidate should be able to: perform biostatistics/bioinformatic analyses of clinical samples subjected to different types of -omics analyses; participate in designing, implementing, validating and maintaining bioinformatics pipelines; participate to the development of scientific databases and their application in the broader context of scientific collaborations with IEO clinicians; implement, update and maintain locally stored data resources required for various analysis tasks; writing bioinformatics protocols and documentation.
ESSENTIAL REQUIREMENTS
Degree in Bioinformatics-related subject (biology, bioinformatics, mathematics, statistics, physics, etc.).
Programming skills (Python, R, preferable).
Experience with genomic, global and single cell-transcriptomics data analysis, and with cancer genomics and bioinformatics related resources (TCGA, ICGC, COSMIC, etc.).
Proficiency with Unix/Linux operating system.
Good English level.
Attention to details.
Ability to multitask, work and learn independently, and be self-motivated.
Ability to work in team and desire to collaborate with other bioinformaticians in the group is essential.
A strong work ethic and commitment to timely delivery of results.
Familiarity with post-omic technologies (transcriptomic, proteomic, bulk and single – cell RNA/DNA sequencing, spatial transcriptomics/ immunofluorescence) and AI-related language models represent a strong plus for this position.
The position will be immediately available, starting with an initial 12-month fellowship.
The salary will be commensurate with experience.
To apply, please send a cover letter describing your research experience and interests, a CV and references to: [email protected]
Posted on 2nd April 2025