|Job Ref:||BIMJHW||Employer:||Randstad||Industry:||Civil and Structural||Job Type:||Contract||Country:||United Kingdom||City:||High Wycombe||Address:||Post Code:||HP11||Salary:||Competitive||Post Date:||08/10/2016 00:14|
Are you looking for a new role as a Bioinformatician? Interested in joining a team of experienced microbiologists, microbial ecologists, and bioinformaticians to apply 16S community analysis, metagenomics, and metabolomics to clinical samples and animal models of human diseases linked to microbiota dysbiosis? If the answer is yes, this role is for you!|
The teams aim is to identify factors and mechanisms that might influence/enhance the risk and outcomes associated with these disorders/conditions and to develop products for prevention and treatment. This is a fantastic contract opportunity to play a key role and to work for an industry leader!
An initial 12 month contract is on offer for a Bioinformatician to join a team of talented bench-based and computer-based scientists. You will be paid weekly, one week in arrears. The role is full time, 37.5 hours a week are to be worked, and you will also be entitled to a pension plan and holiday pay.
* Using established software, as well as exploring and adapting novel bioinformatics tools and pipelines, to analyse next generation sequencing of microbial communities and metabolomic data sets.
* Writing scripts for multi-dimensional data analyses.
* Visualising large and complex data sets.
* Establishing and maintaining laboratory databases.
* Supporting laboratory members in the analysis of experimental data, as well as partnering and communicating with internal and external collaborators.
* Experience with software pipelines for metagenomic assembly and data analysis is strongly preferred.
* Familiarity with multi-omics integration of 16S community data and/or metagenomic data and/or metabolomic data is strongly preferred.
* Expertise in data visualization (e.g. using the R packages ggplot2 or Lattice) is considered advantageous.
* Good knowledge of biomedical statistics - in particular experience with the analysis of longitudinal data - is desired.
* Expertise in in silico analysis of metabolic pathways is considered favorable.
* Experience with the design of primers (e.g. using ARB) is desired.
* Competence in the analysis of 16S sequencing data.
* Expertise in the assembly of whole genomes.
* Proficiency in the use of R and a scripting language (preferably Python).
* Ability to setup and administer a UNIX/LINUX operating system and/or cloud-based computing.
* A minimum of a Bachelor's or higher degree in an appropriate field of science or technology and related research experience utilising bioinformatic techniques/methods required by the position or an equivalent combination of education and experience.
If this role is of interest to yourself, and matches your skills sets and experience then please click apply below to submit your CV. Please ensure your up to date contact details are on your CV before applying. If your application is shortlisted, we will call you and discuss the role in further detail to ensure this role is what you are looking for and meets our clients needs.
Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application.
Candidates must be eligible to live and work in the UK.
For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.