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    Opportunity: Pre-doctoral research fellow in bioinformatics-transcriptomics @ MCB/UJ -- Krakow, Poland
    Submitted by Pawel Labaj; posted on Tuesday, October 31, 2017


    We need an outstanding candidate excited about novel approaches for the analysis of high-throughput expression profiling data.

    Our group focuses on the challenge of extracting structured insight from genome-scale experiments. We investigate the gene models' complexity as well as influence of alternative gene transcripts level analysis on mRNA expression profiling results interpretation.


    You will be responsible for the development of novel approaches in the deep bioinformatics analysis of heterogeneous data sets from high-throughput expression profiling experiments. You will be responsible for applying and adapting existing systems as well as developing novel components as needed.

    • Doctoral degree/PhD in bioinformatics, computer science or (computational) biology, or any related field of life sciences
    • Strong expertise in programming in: R, PERL, python, C/C++; knowledge about Linux environment on the administrator and programmer level; knowledge about version control systems: svn, git
    • Experience in (bio)statistics as well as machine learning methods
    • Basic knowledge about molecular biology, especially genomics/transcriptomics
    • A plus will be familiarity with expression profiling technologies and methods.
    • A plus will be proof of eventual earlier scientific work.
    • Have excellent written and oral communication skills in English (essential)
    • Have abilities to work unsupervised and have good organization skills


    Salary will be commensurate with experience.


    Bioinformatics Research Group at MCB, Jagiellonian University Krakow, Poland (
    We are interested in pushing the state of the art in functional genomics, aiming to elucidate the role of the thousands of genes and gene products that are still not exhaustively characterized. A key source of information about the function of a gene is when, where, and how strongly it is being expressed. The most common studies are actually looking for differential expression: differences in expression between different samples or states. This is fortunate, as some of our recent work has shown that such comparative studies are much more robust to technical platform effects. Quantitative measurements are of course directly subject to bias and noise. When novel technologies emerge, the characterization of their measurement bias and noise, as well as the subsequent reduction of the effects of these becomes a critical prerequisite to meaningful reproducible results. With our collaborators we have made key contributions to the first systematic study of the power and limitations of RNA-seq within the US FDA MAQC-III/SEQC consortium. We continue this work, among others, in follow up SEQC2 project.

    Another area of our interest is to study the microbial ecosystems of built-up environments in order to build a molecular portrait of cities. To achieve this ambitious goal we collaborate with groups from all over the world within the MetaSUB International Consortium (


    Full information about application procedure and detailed requirements can be found here:łoszenie+ASYSTENT_PPL_1-1.pdf


    The application deadline is 19th of Nov 2017.

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