The group of quantitative genomics, bioinformatics and computational biology (QBC) (Section of Statistics and Data Analysis) is looking for a highly talented postdoc for 24 months to mainly work in the externally funded research project, EliteOva (eliteova.ku.dk/), headed locally by Professor Haja Kadarmideen at DTU Compute and by the overall project leader, Professor Poul Hyttel, based at the Department of Veterinary and Animal Sciences (IVH) (ivh.ku.dk/english/) at the University of Copenhagen (KU).
The postdoc position will have a strong collaboration with the KU-IVH and be part of the working environment there as well as having close interactions with all EliteOva’s consortia partners.
RESPONSIBILITIES AND TASKS
The postdoc will be expected to:
- Develop and conduct cutting-edge research in systems genomics, systems biology and bioinformatics in cattle with a focus on Cattle Artificial Reproduction Technology (ART) such as OPU-IVF and Embryo Transfer
- Analyse datasets based on multi-omics profiles (genomics, epigenomic and transcriptomics datasets that are array- and NGS-based) and integrate or associate with phenotypes generated by ART and at the farm from the EliteOVa project and possibly other related datasets in cattle.
- Collaborate with associated groups in EliteOva based in Canada/USA on epigenomics
Write and publish research results via internationally peer-reviewed journals (3 papers in 24 months) and conference proceedings
- Actively disseminate the research results via seminars, workshops and conferences
- Advice, support and closely work with the QBC group’s MSc and PhD students.
- Participate in the development of bioinformatics and systems genomics software and analysis pipelines for big data (e.g. using R packages, Python, Perl, C++) in close cooperation with members of QBC group.
This job description is only an outline of the main tasks, but the jobholder will carry out any other duties that may be reasonably required.
Candidates should have a PhD degree combining genome-informatics, bioinformatics, computational biology or systems biology with animal biosciences with special emphasis on reproduction and embryotechnology.
The ideal candidate profile is a combined expertise of bioinformatics and molecular biology working on animal epigenetics / animal reproduction. Epigenomic, transcriptomic and genomic data analyses (e.g. RRBS, RNAseq, SNP array/genome sequence data) as well as integrative systems biology analyses will specifically be in focus.
In addition, we expect you to:
- Demonstrate good experience in working with large omics datasets under UNIX / LINUX (super)computing systems and competent in many programming languages including R
- Have a solid experience in working with software programs relevant for one or more of the following: transcriptomics or epigenomic data analyses based on NGS, general bioinformatics and systems genomics analysis tools
- Show evidence of excellent oral and written communication skills in English
Also International peer-reviewed journal publications in the relevant area is desirable.
Please submit your online application no later than 8 February 2019. To apply, please goto:
Then open the link "Apply online", fill out the online application form. The following must be attached / uploaded online in English:
Application (cover / motivation letter)
Diploma (MSc & PhD)
List of publications
List of teaching and supervision experience
List of names and contact information for two or more referees
Applications and enclosures received after the deadline will not be considered.
Email applications will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.