Job ID: 5889
Job date: 2018-01-23
End Date:
Company : Stockholm Bioinformatics Centre Country : Role : Postdoc | Student
Job date: 2018-01-23
End Date:
Company : Stockholm Bioinformatics Centre Country : Role : Postdoc | Student
Job Description:
As part of an SSF (Swedish Foundation for Strategic Research) funded project “Integrative precision medicine: local data, global context”, a postdoc position is available at Science for Life Laboratory in Stockholm, Sweden. This position will be supervised by Professor Erik Sonnhammer in conjunction with the project management. The project aims at developing computational methods for integrative modelling of big cancer data sets, using a range of network inference methods. These inferences will result in mechanistic gene regulatory networks, and to better understand the biological basis of these, this position will contribute with pathway analysis using the novel BinoX network crosstalk method as well as classical methods. A further aim is to make pathway analysis available in the project web portal. The goal is also to develop methods for using prior information in gene regulatory network inference. Previous work has been done on using the FunCoup functional association networks as a prior, but the goal here is to instead use physical regulatory evidence such as ChIP-Seq or ATAC-seq which are likely to be more relevant. As such data is hard to simulate in a sensible way, benchmarking needs to be done on real datasets, using databases such as Trrust or other compilations of known regulatory links. The project involves programming, data analysis, benchmarking, and modelling, as well as application of the developed methods to experimental data generated by the project Qualifications: Only European or US/Canada citizens are eligible. The successful Postdoc candidate should be highly motivated and have a Ph.D. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an Ph.D. in molecular biology or related field and 2 years of postdoctoral experience in bioinformatics research and programming. The successful PhD student candidate should be highly motivated and have an M.Sc. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an M.Sc. in molecular biology or related field and at least 1 year of practical experience in bioinformatics research. Demonstrable familiarity with sequence and molecular data analysis techniques is essential. Computer programming (ideally R, Matlab, Python, Perl, Java, C, C++), UNIX skills, and knowledge of biological database systems are necessary merits.
Additional Info:
Start date: As soon as possible How to Apply: Send your CV, a cover letter, and the email address of one or more references to: Erik.Sonnhammer@scilifelab.se Contact: Erik Sonnhammer Erik.Sonnhammer@scilifelab.se[Click Here to Access the Original Job Post]
As part of an SSF (Swedish Foundation for Strategic Research) funded project “Integrative precision medicine: local data, global context”, a postdoc position is available at Science for Life Laboratory in Stockholm, Sweden. This position will be supervised by Professor Erik Sonnhammer in conjunction with the project management. The project aims at developing computational methods for integrative modelling of big cancer data sets, using a range of network inference methods. These inferences will result in mechanistic gene regulatory networks, and to better understand the biological basis of these, this position will contribute with pathway analysis using the novel BinoX network crosstalk method as well as classical methods. A further aim is to make pathway analysis available in the project web portal. The goal is also to develop methods for using prior information in gene regulatory network inference. Previous work has been done on using the FunCoup functional association networks as a prior, but the goal here is to instead use physical regulatory evidence such as ChIP-Seq or ATAC-seq which are likely to be more relevant. As such data is hard to simulate in a sensible way, benchmarking needs to be done on real datasets, using databases such as Trrust or other compilations of known regulatory links. The project involves programming, data analysis, benchmarking, and modelling, as well as application of the developed methods to experimental data generated by the project Qualifications: Only European or US/Canada citizens are eligible. The successful Postdoc candidate should be highly motivated and have a Ph.D. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an Ph.D. in molecular biology or related field and 2 years of postdoctoral experience in bioinformatics research and programming. The successful PhD student candidate should be highly motivated and have an M.Sc. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an M.Sc. in molecular biology or related field and at least 1 year of practical experience in bioinformatics research. Demonstrable familiarity with sequence and molecular data analysis techniques is essential. Computer programming (ideally R, Matlab, Python, Perl, Java, C, C++), UNIX skills, and knowledge of biological database systems are necessary merits.
Requeriments :
Skills :
- Bioinformatics
- Lunix/Unix
- molecular biology
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
Areas :
Additional Info:
Start date: As soon as possible How to Apply: Send your CV, a cover letter, and the email address of one or more references to: Erik.Sonnhammer@scilifelab.se Contact: Erik Sonnhammer Erik.Sonnhammer@scilifelab.se[Click Here to Access the Original Job Post]