|в Skolkovo Institute of Science and Technology|
|Город||Moscow, Russian Federation|
PhD или аспирант
Постдок или научный сотрудник
|Адрес||3 Nobel st., Skolkovo Innovation Centre,|
Postdoctoral and predoctoral (phD) positions are available in the laboratory of Computational and Structural Transcriptomics led by Dr. Dmitri Pervouchine at the Center of Life Sciences of Skolkovo Institute of Science and Technology, to develop a cutting edge research in the area of computational biology and cancer genomics.
The project is focused on understanding the regulatory programs of pre-mRNA splicing, their regulation in wellness, and dysregulation in disease. We are particularly interested in the relationship between splicing and premature intronic polyadenylation, and on the role it plays in cancer development and progression. Current studies demonstrate that truncated mRNAs caused by premature intronic polyadenylation recurrently affect tumour-suppressor genes. We use statistical modelling and machine learning to analyze large panels of high-throughput RNA sequencing experiments, including Genotype-Tissue Expression (GTEx) project, The Cancer Genome Atlas (TCGA), and Pan-cancer analysis of whole genomes (PCAWG). We also study cancer-specific splicing aberrations that affect protein structure using homology modelling and validate aberrant protein models using proteomics data. This interdisciplinary study at the cutting edge of bioinformatics, modelling, computational and molecular biology develops a completely novel approach to identify cancer drivers that operate through mis-splicing and premature intronic polyadenylation. Other projects are available at the group webpage https://crei.skoltech.ru/cls/research-projects/pervouchine-laboratory-projects/
Minimum qualifications of the candidates expected to join this group are:
- a degree in bioinformatics, biology, physics, chemistry, mathematics, computer science, or a related field with knowledge of statistics (PhD required for postdocs);
- computational mindset with proficiency in at least one programming language;
- good spoken and written English.
Applicants with the following qualifications are particularly encouraged to apply:
- research experience in NGS data analysis and their integration into biological models;
- experience with large-scale data analysis using software pipelines;
- background in molecular biology or biochemistry, especially with some experience in the analysis of gene networks in cancer.
Candidates interested in joining this group should send a CV, a cover letter, and the name of two references to Dr. Dmitri Pervouchine (email@example.com). Successful candidates will be offered a highly competitive salary and benefits package. Both postdoc and PhD positions are available in 2019. Post-doc positions can be both full-time or part-time.