Postdocs in cancer genomics and medical big data analysis

Postdocs in cancer genomics and medical big data analysis

Aarhus University (AU)

Aarhus N, Denmark

The Department of Molecular Medicine (MOMA), Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for three positions as Postdoc in the field of bioinformatics, as per 1 July 2019 or as soon as possible thereafter. The positions are full-time positions for up to 24-36 months.

The Department of MOMA
MOMA offers a vibrant and unique interdisciplinary research environment with more than 20 years’ experience in genomics, transcriptomics, and translational cancer research. The department houses state-of-the-art laboratory facilities, comprehensive cancer biobanks, an extensive next-generation sequencing facility, access to a large HPC facility, and extensive genomics data infrastructure. The department also plays a central role in the recently established Danish National Genome Center and will house genome sequencing.

About the research group
Jakob Skou Pedersen’s research group studies cancer evolution and gene regulation. The research is primarily based on computational analysis of local and third-party large cancer genomics data sets, typically with thousands of samples. Projects may include statistical modelling and methods development. They may be supplemented by collaborative experimental hypothesis evaluation. There are close collaborations with local groups in statistics, bioinformatics, molecular biology, and clinical oncology as well as numerous international collaborations, including participation in the International Cancer Genome Consortium (ICGC) and the Pan-Cancer Analysis of Whole Genomes Project (PCAWG).
Jakob has a dual affiliation at the Bioinformatics Research Center (BiRC), Faculty of Science and Technology, where part of the research projects may be carried out.

Your job responsitibilities
As a Postdoc in bioinformatics, your position is primarily research-based. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.

You will be joining one of the following research projects:

  • A) Cancer evolution (1-2 positions): Explore the mutational processes underlying cancer development and progression. A key question will be how repair deficiencies shape mutational patterns. The analysis will involve thousands of whole cancer genomes and rely on integration of somatic mutations at both the single nucleotide and structural level, germline variants, expression data, epigenetic data, layers of genomics annotation, etc. Depending on your background, the analysis may rely on existing tools and methods or involve statistical modelling and method development. Concrete hypotheses may be sought validated in local patient cohorts or in wet-lab experiments through ongoing local collaborations.
  • B) Gene regulation and non-coding RNAs (1-2 positions): Explore tens of thousands of gene expression data sets to learn about non-coding RNAs and post-transcriptional regulation in cancer. One of your possible aims is to characterise intronic RNAs in cancer from large local and third-party total RNAseq data sets. Another possible aim is to use statistical modelling to identify and characterise non-coding RNAs and RNA binding proteins that affect post-transcriptional regulation in cancer, by correlating gene expression patterns with presence of binding sites across large sample cohorts. Functional hypotheses may be sought experimentally evaluated through local collaborations.

You must indicate which positions you would like to be considered for.

Your competences
You have academic qualifications at PhD level, preferably within bioinformatics, statistics, computer science or a related discipline. You have a strong relevant publication track-record, with first-author publications in peer-reviewed articles in international recognized journals. Proficiency in statistical data analysis and scientific computing is required. Experience with genomics data analysis, software development and experience with R or Python programming languages is advantageous. Knowledge of cancer biology, mutational processes, the DNA damage response system, or non-coding RNAs is also advantageous. We expect you to very good in oral and written English.

As a person, you are rich in initiative, and possess good communication and supervisor skills. You are a team player with good collaborative skills and strong motivation for research.

In order to be assessed as qualified for a Postdoc position, you must meet these academic criteria.
Shortlisting will be used.

Questions about the position
If you have any questions about the position, please contact please contact Professor Jakob Skou Pedersen by email: jakob.skou@clin.au.dk or by phone +45 7845 5360.

Your place of work will be the Department of Department of Molecular Medicine (MOMA), Palle Juul-Jensens Boulevard 99, 8200 Aarhus N. Time may also be spent at the Bioinformatics Research Center (BiRC), faculty of Science and Technology, C.F. Møllers Alle 8, Building 1110, 8000 Aarhus C.

Salary is paid according to the AC collective agreement. The yearly basic salary ranges from 478.879,42 DKK to 504.197,61 DKK (incl. 17% pension) for post doc candidates at Health with three to eight years of work experience after their MSc degree. Supplements may potentially be negotiated dependent on qualifications. Please find more information in the Salary agreement catalogue for staff at Health. For further questions about salary level of post docs, please contact Professor Jakob Skou Pedersen, HR clin.hr@au.dk or International Academic Staff (IAS).

As an international employee you may be eligible for the researcher tax scheme. You can read more about the conditions you must fulfil to be eligible for the researcher taxation scheme here.

Terms of employment
Application
Your application must include the following:
  • Motivated application
  • Curriculum Vitae
  • Diploma
  • A list of publications
  • A maximum of five of the publications of greatest relevance to the job may be submitted
  • References/recommendations can be uploaded separately in the e-recruitment system
  • Template for applicant – postdoc must be completed and uploaded under ‘Extra documents’

We refer to the faculty’s Guidelines for applicants.

The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

Applications submitted through channels other than the online application form or applications which are not received by the application deadline will not be considered.

All interested candidates are encouraged to apply, regardless of their personal background.

International applicant?
Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information about entering and working in Denmark here. Aarhus University also has a Junior Researcher Development Programme. You can read more about it here.

Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 39,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 884 million. Learn more at www.au.dk/en

Deadline:

07 May 2019

Please apply via recruiter’s website.

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