Job ID: 476965
Job date: 2018-03-18
End Date:
Company : The Francis Crick Institute Country : Role : Other
Job date: 2018-03-18
End Date:
Company : The Francis Crick Institute Country : Role : Other
Job Description:
In this role you will be asked to provide bioinformatics and data analysis support to projects run by Francis Crick scientists. Using a variety of programming, statistical and data analysis techniques you will analyse data produced by the latest high throughput genomic technologies. Typical analysis steps will cycle through quality assessment, results generation, biological interpretation and ultimately named publication. During this process you will be expected to work closely with other members of the bioinformatics team, the scientific groups with which you are collaborating and the advanced sequencing team. As well as the analysis of data from more established applications there will be the opportunity to analyse data from more bespoke applications requiring the development of new pipelines and software. Key responsibilities: These include but are not limited to:
Additional Info:
Please note: all offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. [Click Here to Access the Original Job Post]
In this role you will be asked to provide bioinformatics and data analysis support to projects run by Francis Crick scientists. Using a variety of programming, statistical and data analysis techniques you will analyse data produced by the latest high throughput genomic technologies. Typical analysis steps will cycle through quality assessment, results generation, biological interpretation and ultimately named publication. During this process you will be expected to work closely with other members of the bioinformatics team, the scientific groups with which you are collaborating and the advanced sequencing team. As well as the analysis of data from more established applications there will be the opportunity to analyse data from more bespoke applications requiring the development of new pipelines and software. Key responsibilities: These include but are not limited to:
- Provide expert analysis of high-throughput genomic data, using a wide range of biological resources and bioinformatic methods.
- Develop methodologies and techniques to address analysis issues and implement software and data resources in relation to these technologies.
- Provide consultation and communication in data analysis, data mining, statistics, genomics and other areas of bioinformatics, to Crick scientists.
- Collaborate in developing the Core with other members of the Bioinformatics group, Crick scientists and other bioinformatics research groups within the Crick.
- Continue professional development through maintaining awareness of developments in the wider bioinformatics and research communities.
- Participate and contribute to Crick meetings, workshops and seminars.
- Participate in group initiatives for the provision of training.
- Publish where appropriate.
Key experience and competencies
The post holder should embody and demonstrate our core Crick values: Bold, Imaginative, Open, Dynamic and Collegial, in addition to the following: Knowledge:- Higher degree in a relevant subject with an extensive analytical component (e.g. bioinformatics, statistics, molecular biology or mathematics) or equivalent experience.
- An understanding of programming, particularly with regard to big data, data visualisation and data-mining techniques within a genomic or genetical environment.
- Familiarity with the application of statistical techniques to biological data.
- A basic knowledge of molecular biology, genetics, model organisms and possibly cancer biology.
- A broad comprehension of high throughput genomic technologies.
- A working knowledge of how to design and build data resources, and their use.
- Considerable experience in bioinformatics or related biological field.
- Demonstrable experience of programming in a higher level language (R/C/C++/Perl/Python).
- Demonstrable experience of NGS analysis methodologies and protocols.
- Experience of interaction with investigators on scientific projects and working in a collaborative environment.
- Proven ability in programming.
- Works with minimal supervision, organising and prioritising own workload.
- Excellent communication skills within a research environment, building highly effective working relationships with team and customers.
- Excellent scientific analysis skills.
Requeriments :
Skills :
- Bioinformatics
- Cancer biology
- Data Mining
- Genetics
- genomic
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
Please note: all offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. [Click Here to Access the Original Job Post]