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Postdoc in Bioinformatics

KU-SUND-Metabolismecentret

København, Storkøbenhavn

Indrykket
15-07-2019
Kontakt
KU-SUND-Metabolismecentret
Nørre Allé 20
2200
København N
Tlf
35332898
Praktisk information
Oprettet
15-07-2019
Udløber
11-08-2019
Kviknummer
330059845
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Post. Doc.
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale

Novo Nordisk Foundation Center for Basic Metabolic Research

Faculty of Health and Medical Sciences

University of Copenhagen

Background

The Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) was established in 2010 to conduct fundamental research on metabolism. It is part of the Faculty of Health and Medical Sciences, University of Copenhagen. The Center has around 170 employees from all over the world. Its employees moved into new laboratories, offices and meeting rooms in the Maersk Tower in summer 2017. You can read more about us at http://cbmr.ku.dk

We are looking for a skilled and experienced bioinformatician at postdoctoral level, to join the group of Romain Barrès, which is part of the GECKO Consortium (Gametic Epigenetics Consortium against Obesity). This consortium, funded by a NNF Challenge Grant, aims to understand the cellular mechanisms by which environmentally-acquired epigenetic information transferred by spermatozoa to offspring can influence embryo development and predispose to obesity later in life. The GECKO Consortium is an international group of researchers from the University of Copenhagen, the University of Sydney and the University of Chicago, giving many opportunities for collaboration and insight from a variety of experts. The start date is October 1, 2019.

Profile

We are seeking a skilled and experienced bioinformatician to perform bioinformatic comparative analyses of the responses to nutritional stress across species. In particular, DNA methylation and small non-coding RNA expression in spermatozoa will be assessed using next-generation sequencing. The applicant is expected to work and consult with colleagues concerning issues of data analysis and interpretation. Additionally, the applicant is expected to formulate hypotheses, initiate projects, and manage them through to completion. Candidates with additional background in mathematical modelling, machine learning and molecular biology would be highly regarded.

Essential criteria
- PhD in Bioinformatics, Computational Biology or related field.
- Very strong experience in programming languages.
- Experience in next generation sequencing
- Strong experience with the Linux/UNIX environment, command lines, shell scripting and high-performance computing.
- Experience in applying statistical and mathematical methods to biological problems.
- Experience in experimental design and planning of experiments.
- Demonstrated capacity for effective team work.
- Proven track record showing scientific productivity in peer reviewed journals.
- Excellent written and oral communication skills in English.

Desirable criteria
- Knowledge of epigenetic mechanisms, DNA methylation and small RNA biology.
- Experience in collecting and processing large-scale scientific data.
- Experience in analysis of poorly annotated genomes and/or comparative genomic analysis.
- Knowledge in Git and demonstrated capacity for collaborative programming.
- Experience in reactive programming.

Terms of employment

The employment as postdoc is a full-time position for 2 years. Starting date is October 1, 2019.
Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund.
Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.
The position is covered by the “Memorandum on Job Structure for Academic Staff at the Universities” of June 28, 2013.

Questions

For further information, please contact Prof. Romain Barrès barres@sund.ku.dk.

Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below or via https://employment.ku.dk/faculty/. Furthermore, your application must include the following documents/attachments – all in PDF format:

1. Motivated letter of application addressing each of the essential criteria (max. two pages).
2. CV incl. education, work/research experience, language skills and other skills relevant for the position.
3. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
4. List of publications.
5. List of three references

Application deadline: August 11, 2019 23.59pm CET

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed, each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

The University of Copenhagen wishes to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

Ansøg nu
Virksomhedsinformation
KU-SUND-Metabolismecentret
Nørre Allé 20
2200
København N
Tlf
35332898
Praktisk information
Oprettet
15-07-2019
Udløber
11-08-2019
Kviknummer
330059845
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Post. Doc.
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale
Beliggenhed