PhD candidate position in Computational Biology and Gene Regulation

Institution/Company:
Centre for Molecular Medicine Norway, University of Oslo
Location:
Oslo, N/A, Norway
Job Type:
  • PhD
Degree Level Required:
Masters
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PhD candidate position in Computational Biology and Gene Regulation

We seek an individual highly motivated by the development of computational models and tools dedicated to the analysis of biological data. We are looking for applicants excited about combining life sciences and computation to analyse gene expression regulation. The ideal candidate will be collaborative, independent, with strong enthusiasm for research, and should have experience in statistical / machine learning modelling and computer programming (mainly Python, R, and bash) dedicated to the analysis of large-scale genomics data. Being familiar with gene expression regulation in general, DNA methylation, and TF binding is an advantage. The position is open to applicants with a background in computational biology/bioinformatics, computer science, or related fields. We offer a stimulating environment with excellent working and social benefits.

Responsibilities:

The selected candidate will develop computational models to study the binding of TF to DNA and how aberrant DNA methylation can alter gene regulation in cancers.

Qualifications:

Essential requirements and skills:

  • Master degree in computational biology, bioinformatics, biostatistics, or a related field
  • Proficiency in programming (Python, R, bash)
  • Ability to collaborate with researchers from different fields and at different career stages
  • Willingness to be part of a team to share knowledge and skills
  • Experience with analysis of genomics data sets
  • High drive for science
  • Proficiency in English

Advantageous skills

  • Proven ability to implement bioinformatics pipelines, tools, and resources
  • Experience with a workflow management tool like Snakemake
  • Experience with the git version control system
  • Knowledge of eukaryotic gene expression regulation is an advantage
  • Knowledge of molecular biology is an advantage

Additional Information

The group was established in 2016 and focuses on gene expression regulation and the mechanisms by which it can be disrupted in human diseases such as cancers. In a nutshell, the group develops and applies computational approaches to analyse in house (through collaborations with groups at the Institute for Cancer Research, where the group is also affiliated) and public multi-omics data to study gene expression dysregulation. Amongst others, our current projects aim at developing new computational methods and tools for (1) improving the prediction of transcription factor (TF) binding sites; (2) prioritizing somatic mutations dysregulating the gene regulatory program in cancer cells; (3) understanding the interplay between TF binding and DNA methylation in cancers; (4) characterizing the landscape of active promoters and enhancers in breast cancer; and (5) assessing the transcriptional impact of transition from diploid to aneuploid cells in breast cancer. The Computational Biology & Gene Regulation group is funded through a start-up package from the NCMM, a Young Research Talent grant from the Research Council of Norway, and an open call grant from the Norwegian Cancer Society.

See http://mathelierlab.com for further information.

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