Postdoctoral Researcher
NUI Galway
Galway, IE
5d ago

Applications are invited from suitably qualified candidates for a fixed term contract as a Postdoctoral Researcher for Precision Oncology Ireland, in the laboratory of Dr Eva Szegezdi, Biomedical Sciences, College of Science & Engineering, National University of Ireland, Galway.

The position is available from February 2020 to January 2022 subject to an initial one-year probationary period.

Organisation : Precision Oncology Ireland (POI; ) is a consortium of 5 Irish Universities, 6 Irish Charities, and 10 International companies aiming to develop new diagnostics and therapeutics for the personalised treatment of cancer.

The consortium is co-funded by Science Foundation Ireland with industry and charity partners. The vision of POI is to integrate cutting-edge genomics, proteomics, metabolomics and imaging technologies to generate molecular profiles that allow us to better understand cancer pathogenesis, progression and response to therapies.

Bringing together experimental and computational advances combined through data integration is a key competitive advantage of the POI consortium.

The results will be better diagnostics, personalised cancer therapies, and acceleration of cancer drug discovery and development.

Job Description : The laboratory of Dr Eva Szegezdi is a member of the POI consortium and the current project is co-funded by SFI and the Celgene Institute for Translational Research Europe.

The project focuses on drug resistance and relapse in acute myeloid leukaemia and how this process is impinged by the bone marrow microenvironment.

The specific aim of the project is to use computational modelling to determine how the cellular composition of the bone marrow microenvironment and leukemic stem cell heterogeneity underpins drug resistance and consequent relapse after treatment.

The project will use advanced computational biology tools to extract cell type-specific information from genomic and genetic datasets generated from bone marrow samples to determine cell type-specific genetic alterations and altered cellular composition of the BM niche.

These data will inform about the genetic and epigenetic aberrancies within specific niche cell types that may drive drug resistance.

The effect of the identified molecular perturbations (e.g. skewed stromal cell balance) will be validated using in vitro and ex vivo multi-cell type co-culture models.

Duties :

  • Carry out genomic, transcriptomic, epigenetic and proteomic analysis of primary AML samples and evaluate results to generate testable hypothesis and identify potential biomarkers.
  • Carry out functional studies and drug testing to validate the findings of the computational analysis
  • Participate in the collaborative translational research project with and at the industry partner, CITRE.
  • Author original research articles, reports and educational resources related to the research project.

    Qualifications : Essential

  • PhD in biomedical science, computational biology, bioinformatics or a related subject.
  • Experience in cell culture techniques.
  • Prior experience of analysis of omics data.
  • Expertise in statistical programming and data manipulation, using e.g. R / Bioconductor, Matlab, Python
  • Experience in integrative analysis and biological interpretation of high-throughput data preferred
  • Experience with version control and high-performance computing, including cloud computing and / or big data analytics platforms would be advantageous
  • Excellent presentation skills.
  • Excellent communication and interpersonal skills.
  • Accurate attention to detail with ability to working within tight deadlines.
  • Excellent organisational and analytical skills.
  • Flexibility and ability to work in a team environment.
  • Qualifications : Desirable

  • 1-3 years of postdoctoral research experience
  • Knowledge and track record in translational cancer biology or immunology, as evidenced by publications.
  • Experience in clinical or translational haematology, bone marrow haematopoietic microenvironment.
  • Experience in single cell transcriptome data analysis.
  • Salary scale : €37,874 per annum, pro rata

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