Tweet
The Department of Dermatology of the University Hospital Essen is seeking three
Early Stage Researchers (ESRs)/PhD Students
within The MELGEN European Training Network (ETN). The planned duration of the positions is 3 years, with a possible extension according to the maximum employment duration as given by German laws regarding scientific fixed-term contracts (Wissenschaftszeitvertragsgesetz).
About the ESR positions:
ESR 13 Experimental and molecular characterization of tumour and blood samples from melanoma patients to define resistance to individualized therapy
This project aims at identifying molecular genetic profiles with prognostic and predictive significance in melanoma to meet the need for reliable biomarkers and efficient therapy. Mutation data will be generated by next generation sequencing (amplicon panels and capture based enrichment). These data will then be analyzed with respect to their clinical relevance for survival (prognostic relevance) and therapy response (predictive relevance), as long term follow up times are available for our patients. Identified profiles of driver mutations and rare mutations with prognostic or predictive value will be validated in the MELGEN data sets. Genome and transcriptome sequencing data from metastatic tumor samples of stage IV melanoma patients will be generated and analysed to complement data on primary tumors (generated in Lunds). The project will additionally integrate datasets from publicly available databases (e.g. TCGA, NCBI GEO, ICGC) to test and validate established hypotheses on mutations, gene expression, prognosis and therapy response.
Candidate Qualifications:
M.Sc. or a comparable degree in bioinformatics, computer science, mathematics, statistics, biology or equivalent fields.
Background in next generation sequencing and bioinformatics as applied to genomic, transcriptomic and epigenomic data analysis.
Demonstrable skills in scripting or programming and statistics (e.g. Perl, Python, R, Matlab, sed, awk) as well as the Linux computing environment (e.g. BASH, HPC usage) are essential.
Candidates with a background in computer science, mathematics or statistics should be familiar with molecular biological methods.
Fluency in English, good communication skills and capacity for teamwork are required.
more info:
and
Early Stage Researchers (ESRs)/PhD Students
within The MELGEN European Training Network (ETN). The planned duration of the positions is 3 years, with a possible extension according to the maximum employment duration as given by German laws regarding scientific fixed-term contracts (Wissenschaftszeitvertragsgesetz).
About the ESR positions:
ESR 13 Experimental and molecular characterization of tumour and blood samples from melanoma patients to define resistance to individualized therapy
This project aims at identifying molecular genetic profiles with prognostic and predictive significance in melanoma to meet the need for reliable biomarkers and efficient therapy. Mutation data will be generated by next generation sequencing (amplicon panels and capture based enrichment). These data will then be analyzed with respect to their clinical relevance for survival (prognostic relevance) and therapy response (predictive relevance), as long term follow up times are available for our patients. Identified profiles of driver mutations and rare mutations with prognostic or predictive value will be validated in the MELGEN data sets. Genome and transcriptome sequencing data from metastatic tumor samples of stage IV melanoma patients will be generated and analysed to complement data on primary tumors (generated in Lunds). The project will additionally integrate datasets from publicly available databases (e.g. TCGA, NCBI GEO, ICGC) to test and validate established hypotheses on mutations, gene expression, prognosis and therapy response.
Candidate Qualifications:
M.Sc. or a comparable degree in bioinformatics, computer science, mathematics, statistics, biology or equivalent fields.
Background in next generation sequencing and bioinformatics as applied to genomic, transcriptomic and epigenomic data analysis.
Demonstrable skills in scripting or programming and statistics (e.g. Perl, Python, R, Matlab, sed, awk) as well as the Linux computing environment (e.g. BASH, HPC usage) are essential.
Candidates with a background in computer science, mathematics or statistics should be familiar with molecular biological methods.
Fluency in English, good communication skills and capacity for teamwork are required.
more info:
and