Job ID: 493375759
Job date: 2017-12-05
End Date:
Company : The Francis Crick Institute Country : Role : Postdoc
Job date: 2017-12-05
End Date:
Company : The Francis Crick Institute Country : Role : Postdoc
Job Description:
We are seeking a highly motivated Bioinformatics/computational biology Scientist to join Prof Dominique Bonnet’s laboratory. The lab works on the regulation of human normal haematopoietic stem cell biology and leukemia and the role of the extracellular factors providing by the niche. Details of research projects currently being undertaken in HSCL lab can be seen at: https://www.crick.ac.uk/research/a-z-researchers/researchers-a-c/dominique-bonnet/ We seek a talented, productive and motivated postdoc with a desire to work in a congenial, dynamic and collaborative research team. The post holder will be part of the team of researchers working in the Haematopoietic Stem Cell laboratory under the direction of Prof Dominique Bonnet. The successful candidate will join the HSC team lead by Prof D Bonnet at the Francis Crick Institute. You will work with scientists from the group to analyse large-scale genomic, RNA-seq, single cell seq and Chip-Seq data/ ATAC-seq data as well as proteomic using mass spectrometry imaging. Activities will include integration of genomic datasets with public and commercial biomedical data sources for annotation and interpretation; development, maintenance and optimisation of analysis pipelines and procedures for integrating multi-omics using computational biology approaches, and machine learning to derived new models of interactions between Normal HSC/LSC and their niche which could be functionally be tested. You will also be able to make strategic contributions to experimental design and assist scientists with data interpretation. PERSON SPECIFICATION The post holder should embody and demonstrate our core Crick values: Bold, Imaginative, Open, Dynamic and Collegial, in addition to the following: Essential:
Additional Info:
The group is interested in studying normal human Haematopoietic Stem Cells (HSCs) and Leukaemic Stem Cells (LSCs). At present we are investigating the relationship between normal HSCs, LSCs and their microenvironment. For this we are using NSG, RNA seq, Single cell analysis as well as Chip-Seq/ATAC-seq, proteomics and are thus looking at integrating these multi-omics data to generate new hypotheses that can be functionally tested using our in vivo patient derived xenotransplantation models. [Click Here to Access the Original Job Post]
We are seeking a highly motivated Bioinformatics/computational biology Scientist to join Prof Dominique Bonnet’s laboratory. The lab works on the regulation of human normal haematopoietic stem cell biology and leukemia and the role of the extracellular factors providing by the niche. Details of research projects currently being undertaken in HSCL lab can be seen at: https://www.crick.ac.uk/research/a-z-researchers/researchers-a-c/dominique-bonnet/ We seek a talented, productive and motivated postdoc with a desire to work in a congenial, dynamic and collaborative research team. The post holder will be part of the team of researchers working in the Haematopoietic Stem Cell laboratory under the direction of Prof Dominique Bonnet. The successful candidate will join the HSC team lead by Prof D Bonnet at the Francis Crick Institute. You will work with scientists from the group to analyse large-scale genomic, RNA-seq, single cell seq and Chip-Seq data/ ATAC-seq data as well as proteomic using mass spectrometry imaging. Activities will include integration of genomic datasets with public and commercial biomedical data sources for annotation and interpretation; development, maintenance and optimisation of analysis pipelines and procedures for integrating multi-omics using computational biology approaches, and machine learning to derived new models of interactions between Normal HSC/LSC and their niche which could be functionally be tested. You will also be able to make strategic contributions to experimental design and assist scientists with data interpretation. PERSON SPECIFICATION The post holder should embody and demonstrate our core Crick values: Bold, Imaginative, Open, Dynamic and Collegial, in addition to the following: Essential:
- PhD or equivalent in bioinformatics or computational biology or similar, or in the final stages of completion
- Experience in Integrating multi-dimensional omics data
- Experience in RNA seq, NGS, and single cell analysis
- Good programming skills (e.g: Java, C++, perl) ,
- experience in one statistical language is required (e.g: in R/Bioconductor or Matlab)
- Experience with machine learning approaches
- Must be familiar with cloud and high performance computing (HCPC) environment
- Proven track record of research (e.g: publication record)
- Knowledge in biomedical science is expected
- Strong written and oral communication skills
- Ability to prioritise and manage own time. Ability to multi-task and integrate the demands of different activities in parallel
- Ability to work independently and also capable of interacting and working within a group
- Wet-lab experience (RNA/DNA isolation, cell culture, FACS)
- Experience in building databases and bioinformatic pipelines
Requeriments :
Skills :
- Database design
- HPC
- Machine Learning
- Next Generation Sequencing
- Parallel Computing
- Programing in C++
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
Areas :
Additional Info:
The group is interested in studying normal human Haematopoietic Stem Cells (HSCs) and Leukaemic Stem Cells (LSCs). At present we are investigating the relationship between normal HSCs, LSCs and their microenvironment. For this we are using NSG, RNA seq, Single cell analysis as well as Chip-Seq/ATAC-seq, proteomics and are thus looking at integrating these multi-omics data to generate new hypotheses that can be functionally tested using our in vivo patient derived xenotransplantation models. [Click Here to Access the Original Job Post]