JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for ALLSTAT Archives


ALLSTAT Archives

ALLSTAT Archives


allstat@jiscmail.ac.uk


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

ALLSTAT Home

ALLSTAT Home

ALLSTAT  June 2018

ALLSTAT June 2018

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

JOB | Postdoctoral fellow: Computational single-cell genomics (EMBL Heidelberg)

From:

Oliver Stegle <[log in to unmask]>

Reply-To:

Oliver Stegle <[log in to unmask]>

Date:

Sun, 3 Jun 2018 00:30:25 +0200

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (69 lines)

Hello Allstat,

Please find below details for a postdoc opportunity in statistical methods development for single-cell genomics at EMBL Heidelberg. 
https://www.embl.de/jobs/searchjobs/index.php?ref=HD_01317&newlang=1&pos[]=0&loc[]=0 <https://www.embl.de/jobs/searchjobs/index.php?ref=HD_01317&newlang=1&pos%5B%5D=0&loc%5B%5D=0>

Please contact me for further details. 

Kind regards, 

Oliver 

--
Oliver Stegle, PhD - Research Group Leader
European Bioinformatics Institute (EMBL-EBI)
Wellcome Genome Campus, Cambridge CB10 1SD, UK
Web: www.ebi.ac.uk/research/stegle <http://www.ebi.ac.uk/research/stegle> | Phone: +44 1223 494 101

Genome Biology Unit
European Molecular Biology Laboratory (EMBL)
Heidelberg, Germany
Web: www.embl.de/research/units/genome_biology/stegle <http://www.embl.de/research/units/genome_biology/stegle> | Phone: +49 6221 3878190


####Job Description#######

A Postdoctoral position in computational single-cell genomics is available in the Statistical Genomics and Systems Genetics group at our newly established location as part of the Genome Biology Unit at EMBL Heidelberg in Germany. 

Our research group bridges the excellence in genomics and genetics at the Genome Campus in Hinxton, Cambridge, UK with molecular profiling techniques and statistical computing at EMBL Heidelberg, Germany. The postdoctoral fellow will develop and apply novel computational methods for interrogating single-cell RNA-seq and other single-cell variation datasets. The aims of this post are closely connected to the Human Cell Atlas, to which our group contributes as a node in the analysis working group. As a core aim of this project, we seek to develop computational strategies for the joint analysis of datasets with millions of cells, and to integrate spatial technologies with single-cell RNA-seq and epigenome methods.

The fellow will be located in the Stegle group and collaborate with partners in the Human Cell Atlas, collaborators at EMBL and elsewhere. We seek to build on previous developments and expertise in the group, including factor model, linear mixed models and deep learning methods (see below). The position will be primarily based at EMBL Heidelberg, however regular exchange and visits to the Genome Campus in Hinxton are facilitated by the dual location of the team.

Recent relevant publications:

Buettner, F., et al. (2017) f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq." Genome biology 18.1 (2017): 212.
Svensson, V., et al. (2018) SpatialDE: Identification of spatially variable genes. Nature Methods, advance online.
Angermueller, Christof, et al. (2017) DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning. Genome biology 18.1 (2017): 67.
Buettner, F., et al. (2015). Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nature biotechnology, 33(2), 155.
Argelaguet, R., et al. (2017). Multi-Omics factor analysis disentangles heterogeneity in blood cancer. bioRxiv, 217554.
EMBL is Europe’s flagship research organisation for the life sciences – an intergovernmental organisation with more than 80 independent research groups covering the spectrum of molecular biology. EMBL is international, innovative and interdisciplinary – its 1600 employees, from many nations, operate across six sites near Heidelberg, Hamburg, Grenoble, Rome, Cambridge and Barcelona.

Qualifications and Experience

The successful applicant will hold a doctoral degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical development.

Previous experience in developing and applying computational methods applied to large datasets is expected. Expertise in analysis and integration of multiomics data, statistical genetics, statistical interpretation and analysis of next-generation sequencing datasets is beneficial, as is communicating results in scientific conferences and papers.

We especially seek candidates with prior experience in developing statistical methodology in a genomics context, including gene expression analysis, factor models, GWAS and analysis of NGS data. A good foundation in, and previous usage of methods in any of the following fields is advantageous: statistics, machine learning, genetics, optimization and mathematical modelling. A background in molecular biology, or previous experience tackling biological questions is beneficial but not necessary.

Proficiency with a high-level programming language (e.g., C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python is required.

The ideal applicant should have demonstrated the ability to work independently and creatively. (S)he should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners within the Human Cell Atlas project.

Application Instructions

Please apply online through www.embl.org/jobs <http://www.embl.org/jobs>

Informal enquires should be direct to [log in to unmask] <mailto:[log in to unmask]>.

Additional Information

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation with a very collegial and family friendly working environment. The remuneration package comprises from a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits, as well as financial support for relocation and installation, including your family.


Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001
2000
1999
1998


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager