Postdoc in Epigenomics and Systems Biology of Cattle Artificial Reproduction Technology

The group of quantitative genomics, bioinformatics and computationalbiology (QBC) (Section of Statistics and Data Analysis) is looking for a highlytalented postdoc for 24 months to mainly work in the externally funded researchproject, EliteOva (https://eliteova.ku.dk/), headed locallyby Professor Haja Kadarmideen at DTU Compute and by the overall project leader,Professor Poul Hyttel, based at the Department of Veterinary and AnimalSciences (IVH) (https://ivh.ku.dk/english/) at theUniversity of Copenhagen (KU).

The postdoc position will have a strong collaboration with the KU-IVH andbe part of the working environment there as well as having close interactionswith 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 TransferAnalyse 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 epigenomicsWrite and publish research results via internationally peer-reviewed journals (3  papers in 24 months) and conference proceedingsActively disseminate the research results via seminars, workshops and conferencesAdvice, 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 thejobholder will carry out any other duties that may be reasonably required.

Qualifications
Candidates should have a PhD degree combining genome-informatics,bioinformatics, computational biology or systems biology with animalbiosciences with special emphasis on reproduction and embryotechnology.

The ideal candidate profile is a combined expertise of bioinformatics andmolecular biology working on animal epigenetics / animal reproduction.Epigenomic, transcriptomic and genomic data analyses (e.g. RRBS, RNAseq, SNParray/genome sequence data) as well as integrative systems biology analyseswill 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 RHave 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 toolsShow evidence of excellent oral and written communication skills in English

Also International peer-reviewed journal publications in the relevant areais desirable.

We offer
DTU is a leading technical university globally recognized for theexcellence of its research, education, innovation and scientific advice. Weoffer a rewarding and challenging job in an international environment. Westrive for academic excellence in an environment characterized by collegialrespect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the DanishConfederation of Professional Associations. The allowance will be agreed uponwith the relevant union.

The period of employment is for two years from April 1, 2019 (or as soon aspossible there after). The workplace will be DTU Lyngby Campus. The position isa full-time position. 

You can read more about career paths at DTU here.  

Further information
Further information may be obtained from Professor Haja Kadarmideen, hajak@dtu.dk. 

You can read more about Quantitative Genomics, Bioinformatics andComputational Biology – QBC Group here, Stat Section here, DTU Compute here and DTU here.  

Furthermore, you can read more about the Department of Veterinary andAnimal Sciences at the University of Copenhagen here: https://ivh.ku.dk/english/  

Application procedure
Please submit your online application no later than 8 February 2019 (local time). To apply, please open thelink “Apply online”, fill out the online application form. Thefollowing must be attached in English: 

    Application (cover / motivation letter)CVDiploma (MSc & PhD)List of publicationsList of teaching and supervision experienceList of names and contact information for two or more referees

Applications and enclosures received after the deadline will not beconsidered.

All interested candidates irrespective of age, gender, disability, race,religion or ethnic background are encouraged to apply.

QBC group isinvolved in the cutting edge research at the interphase of Quantitative orstatistical genetics, Bioinformatics and Computational Biology in clinical,experimental, population-wide studies. We model and analyse vast amount ofhigh-throughput SNPchip genotypic data, exome or whole genome or transcriptomeor epigenome or metagenome sequence data and other multiomics datasets that arecollected from a large number of (related) individuals measured for phenotypesor diseases. We work with data from farm animals, animal models for humandiseases and directly from human populations.

DTU Department of Applied Mathematics and Computer Science (DTU Compute)has a total staff of 400 including 100 faculty members and 130 Ph.D. students.We offer introductory courses in mathematics, statistics, and computer scienceto all engineering programs at DTU and specialized courses to the mathematics,computer science, and other programs. We offer continuing education courses andscientific advice within our research disciplines, and provide a portfolio ofinnovation activities for students and employees.

DTU is a technical university providing internationally leading research,education, innovation and scientific advice. Our staff of 6,000 advance scienceand technology to create innovative solutions that meet the demands of society,and our 11,200 students are being educated to address the technologicalchallenges of the future. DTU is an independent academic universitycollaborating globally with business, industry, government and public agencies.
Deadline: 8 February 2019
Unit: DTU Compute
Read the job description and apply online

Post expires on Friday February 8th, 2019