Associate Professor in Quantitative Genomics and Bioinformatics
The department is seeking an associate professor and research leader in quantitative genomics, bioinformatics and systems biology.
The Department of Bio and Health Informatics at the Technical University of Denmark (DTU) has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology and machine learning. Research involves the use of vast amount of phenotypic, clinical, environmental, biological and multi-omic information in humans, animals, plants and microbes.
The department is seeking an associate professor and research leader in quantitative genomics, bioinformatics and systems biology with a focus on animal biosciences. The department hosts and manages Europe’s largest life science and biomedical super-computing facility - Computerome.
Responsibilities and tasks
The associate professor will actively seek external funding to develop a strong research program in quantitative genetics, epigenomics, systems genomics/biology and bioinformatics related to both animal and human biomedical and biosciences. He/she will be a leader of the group Quantitative and Systems Genomics (QSG) and will be a main contact person for this disciplinary area within and across DTU departments and to our external academic and industry partners.
The associate professor will conduct research in quantitative genetics/genomics, epigenomics, transcriptomics, integrative systems biology, genome informatics and bioinformatics related to quantitative traits and complex diseases in animals or animal models or in humans. He/she will work with diverse multi-omic data sets from high-throughput ‘omic assays such as next-generation sequencing, microarrays, mass spectrometry and SNP genotyping. The associate professor will have a focus on obesity, diabetes, metabolic and immune disorders, psychiatric diseases and use of animal models (e.g. pigs, mouse, and rat) and be critical in the development of personalized and predictive medicine in these disease areas.
He/she is expected to publish research results in international journals, disseminate results via stake-holder meetings and conferences and actively take part in research-based teaching in BSc and MSc level programs related to quantitative genetics, bioinformatics and systems biology. He/she will have responsibility of group leader and will report to the Head of Department of Bio and Health Informatics.
- Conduct research in quantitative genomics, bioinformatics and integrative systems biology using diverse multi-omic data sets from animal, aquatic and human life science areas and publish research results in internationally peer-reviewed journals
- Develop new research projects or programs and actively seek external funding from national, EU and international funding bodies.
- Supervise and/or co-supervise MSc and PhD students and mentor postdocs and assistant professors, in his/her area of expertise and perform academic assessment work
- Develop novel statistical-bioinformatics methods and software tools for the analysis and integration of high-dimensional data sets to gain biological insights into complex diseases and traits and to deliver results of practical importance and impact.
- Work closely with biologists, experimentalists, clinicians, regional hospitals and other project teams to answer biological and clinical questions of interest, specifically with the DTU departments - DTU Bioengineering, DTU Vet, DTU Food, DTU Compute and DTU BioSustain
- Teach in BSc and MSc courses related to quantitative-systems genetics, bioinformatics and integrative or systems biology and part in assessments in student exams
The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of the group and the department.
- A PhD degree in one or more of the following areas: quantitative genetics or statistical genetics, genome informatics or bioinformatics and computational biology or systems biology with research based on animal or human biosciences.
- At least 4 years of documented relevant research work experience in the above areas following completion of PhD degree (preferably at the level of senior scientist or assistant professor) in a well-recognized academic or public sector organizations.
- Evidence of principal supervision of MSc and/or PhD students who have completed their degrees
- Evidence of teaching at BSc and/or MSc level in relevant disciplines
- Experienced in scripting and implementation of algorithms in R including creation of R packages but desirably also have some experience in other programming languages including: Perl, Java, Python, Fortran, SQL and C or C++
- Documented experience in the use of Next Generation Sequence analysis tools
- A good experience in UNIX / LINUX computing systems and relational databases
- Knowledge of software programs relevant for quantitative genetics, genome-wide association/linkage analyses, genome-wide gene expression data analyses, epigenetics, gene networks, annotation and pathway analyses, bioinformatics and systems biology
- Evidence of excellent oral and written communication skills in English (knowledge of Danish is very desirable but not essential).
- A desire to interact within and across research teams, to manage time and to work well under pressure
In the assessment of the candidates consideration will be given to
- experience in teaching and education
- scientific production and research potential at an international level
- the ability to promote and utilize research results
- an all-round experience basis, preferably including international experience
- the ability to contribute to development of internal and external cooperation
DTU offers an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. DTU is a leading technical university in northern Europe and benchmarks with the best universities in the world.
The department and QSG group is a vibrant and fast growing group of young scientists and students with broad international background.
Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.
Full time working hours are 37 hours per week in average.
It is expected that the successful candidate will be employed at DTU starting on or after 15 August 2017.
Applicants seeking informal discussion are invited to contact the Head of Department of Bio and Health Informatics at DTU: Professor Haja Kadarmideen by email: email@example.com or by phone: (+45) 4525 6161.
Information about the University is here: http://www.dtu.dk/english
Foreign applicants may find the following links useful: http://www.dtu.dk/english/career/international-employees (International Faculty Services)
Information about staying and studying/working in Denmark is here: https://www.nyidanmark.dk/en-us/coming_to_dk/Phd.htm
Please submit your online application no later than 12 June 2017.
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Ansøg" found on this page and fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- Diploma (MSc/PhD)
- List of publications indicating scientific highlights
- H-index, and ORCID (see e.g. http://orcid.org/)
- Documentation of teaching experience (e.g. in the form of a teaching portfolio)
Applications and enclosures received after the deadline will not be considered.
All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
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