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A position in computational biology is available at the European Institute of Oncology (IEO).
Our group is engaged in a number of projects in areas of cancer genomics, development and stem cells. These projects include studying the role of microRNAs and miRNA:mRNA networks during development, in cancer, and in adult stem cells, as well as investigating microRNAs (miRNAs) and non-coding RNAs (ncRNAs) as biomarkers for cancer and disease.
Candidate will have the opportunity to exploit genomic analysis of miRNAs and ncRNAs from tumors samples searching for biomarkers for: i) cancer risk prediction and/or early diagnosis; ii) detection of minimal residual disease (MRD) and/or monitoring response to therapy; iii) cancer prognosis.
The position entails application of computational tools for the analysis and interpretation of high-throughput genomic data, primarily sequencing data (RNAseq, Illumina), and meta-analysis of cancer datasets of miRNA/mRNA expression profiling. Prior experience in processing and managing high-throughput sequencing data is desired.
Applications will be accepted until the position is filled. Please submit a CV (max 3 pages), a brief research statement (max 1 page), and names of at least two references to Francesco Nicassio ([email protected]).
Please quote: “position_bioinfo” in the subject field of your e-mail.
Our group is engaged in a number of projects in areas of cancer genomics, development and stem cells. These projects include studying the role of microRNAs and miRNA:mRNA networks during development, in cancer, and in adult stem cells, as well as investigating microRNAs (miRNAs) and non-coding RNAs (ncRNAs) as biomarkers for cancer and disease.
Candidate will have the opportunity to exploit genomic analysis of miRNAs and ncRNAs from tumors samples searching for biomarkers for: i) cancer risk prediction and/or early diagnosis; ii) detection of minimal residual disease (MRD) and/or monitoring response to therapy; iii) cancer prognosis.
The position entails application of computational tools for the analysis and interpretation of high-throughput genomic data, primarily sequencing data (RNAseq, Illumina), and meta-analysis of cancer datasets of miRNA/mRNA expression profiling. Prior experience in processing and managing high-throughput sequencing data is desired.
Applications will be accepted until the position is filled. Please submit a CV (max 3 pages), a brief research statement (max 1 page), and names of at least two references to Francesco Nicassio ([email protected]).
Please quote: “position_bioinfo” in the subject field of your e-mail.