Research Fellow
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Nov 22, 2016
View more
- Sector
- Science, Computer Science and IT, Computer Science, General Computing, Life Sciences, Cell and Molecular Biology, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
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Job Details
Job Purpose
This particular project is jointly led by Profs Constanze Bonifer and Peter Cockerill funded by a programme grant from Bloodwise invesigates the basis of aberrant transcriptional programming of chromatin in acute myeloid leukaemia (AML) as evidenced in a number of high profile publications (see Bonifer and Cockerill, Trends in Cancer, 2016; Cauchy et al., 2015, Cell Reports; Ptasinska et al,., 2014, Cell Reports; Piper et al., 2013, Nucleic Acids Research). The programme also investigates the properties of transcriptional networks driving normal and malignant differentiation within the human haematopoietic system. Such studies will be based on gene expression (RNA seq), ChIPSeq, and DNase (ATAC)-Seq data and will require data integration and mathematical modelling.
The multidisciplinay group generates a diversity of cutting-edge genomics data which requires expert analysis and requires dedicated bioinformatics support. The postholder will provide bioinformatics support to ensure that data received and generated by the laboratory is used in an efficient, standardised, secure and accurate manner using cuttingedge technologies and adhering to information governance standards. Person Specification • PhD or equivalent experience in Bioinformatics, Mathematics, Statistics, Computer Sciences or Biology
• You'll need a relevant degree, at a minimum of a 2:1 classification or equivalent. Degree should have links with informatics and science e.g. biological, biomedical, natural sciences, computing, informatics and computer science. Other essential skills are:
• Proven experience with the analysis and integration of genomics data
• Proven experience in NGS analysis in DNASeq, RNASeq, ChipSeq or related
• Understanding of theoretical underpinnings of sequence alignment algorithms in use for next generation sequencing (NGS) data
• Knowledge of Bioinformatics resources such as annotation tools and databases.
• Proficiency in: High level (e.g. python, R and low level (C, C++) programming languages, Database (SQL) development, Maintaining code repositories (version control)
• Linux expertise including file systems, shell, hardware/software monitoring etc.
• Ability to learn and keep abreast of latest technological, methodological and software developments.
• Some understanding of mathematical modelling approaches
• Proven ability to write concise and timely scientific papers and reports
• Ability to plan and prioritise work effectively to meet deadlines
• Good Presentation skills and talent for technology and knowledge transfer
• Staff and/or project management experience
• Experience in writing successful grant proposals
• Aptitude for international collaboration
• Ability to interact with partners and explain complex ideas to non-scientists in an understandable way
• Ability to work in a heterogeneous environment of Clinicians, Biologist, Bioinformaticians and Computer
• Scientists
• Ability to communicate complex information clearly
• Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
• Ability to assess resource requirements and use resources effectively
• Understanding of and ability to contribute to broader management/administration processes
The multidisciplinay group generates a diversity of cutting-edge genomics data which requires expert analysis and requires dedicated bioinformatics support. The postholder will provide bioinformatics support to ensure that data received and generated by the laboratory is used in an efficient, standardised, secure and accurate manner using cuttingedge technologies and adhering to information governance standards. Person Specification • PhD or equivalent experience in Bioinformatics, Mathematics, Statistics, Computer Sciences or Biology
• You'll need a relevant degree, at a minimum of a 2:1 classification or equivalent. Degree should have links with informatics and science e.g. biological, biomedical, natural sciences, computing, informatics and computer science. Other essential skills are:
• Proven experience with the analysis and integration of genomics data
• Proven experience in NGS analysis in DNASeq, RNASeq, ChipSeq or related
• Understanding of theoretical underpinnings of sequence alignment algorithms in use for next generation sequencing (NGS) data
• Knowledge of Bioinformatics resources such as annotation tools and databases.
• Proficiency in: High level (e.g. python, R and low level (C, C++) programming languages, Database (SQL) development, Maintaining code repositories (version control)
• Linux expertise including file systems, shell, hardware/software monitoring etc.
• Ability to learn and keep abreast of latest technological, methodological and software developments.
• Some understanding of mathematical modelling approaches
• Proven ability to write concise and timely scientific papers and reports
• Ability to plan and prioritise work effectively to meet deadlines
• Good Presentation skills and talent for technology and knowledge transfer
• Staff and/or project management experience
• Experience in writing successful grant proposals
• Aptitude for international collaboration
• Ability to interact with partners and explain complex ideas to non-scientists in an understandable way
• Ability to work in a heterogeneous environment of Clinicians, Biologist, Bioinformaticians and Computer
• Scientists
• Ability to communicate complex information clearly
• Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
• Ability to assess resource requirements and use resources effectively
• Understanding of and ability to contribute to broader management/administration processes
Company
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