- Job Title
- Postdoctoral Research Scientist (Integrated Microbiomics Bioinformatics)
- Post Number
- Closing Date
- 11 Oct 2021
- Starting Salary
- £32,578 - £39,938
- Hours per week
- Project Title
- Bioinformatics for integrating ‘omics data in the study of the human microbiome
- Expected/Ideal Start Date
- 25 Oct 2021
- Months Duration
Main Purpose of the Job
We are looking for an individual with a high-level of quantitative skills to develop novel pipelines for the analysis of integrated 'omics data sets from the human microbiome.
The project based in Dr Quince’s group at the Earlham Institute (https://www.earlham.ac.uk/quince-group) will develop pipelines for combined processing of metagenome and metabolome data sets. These pipelines will comprise initial validation, integration and visualisation.
In addition, we will explore the development of new statistical methods for pathway reconstruction and to link metabolic changes with data of clinical relevance. These will be used to gain a mechanistic understanding of the role of therapeutic diets in the treatment of Crohn’s disease through application to a large-scale paired fecal metagenome and metabolome data from clinical trials of diets for Crohn’s disease (funded by the Helmsley Trust). Finally, validation of predictions may be performed through experiments in artificial colon systems.
Dr Quince (PI) and Drs Gaetan Benoit, Rob James and Seb Raguideau (co-workers).
Main Activities & Responsibilities
- Develop pipelines for integrated analysis of 'omics data
- Curate combined metagenome and metabolome data sets
- Develop new tools for statistical analysis of integrated 'omics data sets
- Manage pipeline software on repositories
- Collaborate with colleagues within and outside the Institute to apply these methods to metagenome studies
- Disseminate research findings through attendance at international conferences
- Regularly publish results as manuscripts in leading scientific journals or through other relevant media
- Organise generation of new integrated 'omics data sets
- As agreed with line manager, any other duties relevant to and commensurate with the nature of the role
Education & Qualifications
- PhD in bioinformatics or statistics or related subject area with strong element of statistical modelling
- First degree in any area of science
Specialist Knowledge & Skills
- Command line bioinformatics
- Basic understanding of statistics
- Knowledge of software programming in at least one language e.g. R, Python, C/C++
- Bioinformatics of metagenomics or metabolomics
- Bayesian statistics and probabilistic modelling
- Biological understanding of microbial communities
- Understanding of metabolism
- Proven record in scientific writing
- Experience of oral research presentations
- Preparing data / information for grant proposals
- Experience developing software for genomics or metagenomics
Interpersonal & Communication Skills
- Excellent communication skills both written and verbal
- Good interpersonal skills, with the ability to work as part of a team
- Demonstrated ability to work independently, using initiative and applying problem solving skills
- Ability to follow instructions/Standard Operating Procedures
- Attention to detail
- Promotes equality and values diversity
- Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute
- Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work
- Willingness to work outside standard working hours when Essential required
Who We Are
Earlham Institute is a vibrant, contemporary research institute and registered charity, working in an area of rapid technological development and innovation.
Earlham Institute is strategically funded by the BBSRC to lead the development of a skill base in bioinformatics and a genomics technology platform for UK bioscience. The Institute is located on the Norwich Research Park, together with its partners: the John Innes Centre, the Institute of Food Research, The Sainsbury Laboratory, the University of East Anglia and the Norfolk and Norwich University Hospital. The research park has an excellent reputation for research in plant and microbial sciences, interdisciplinary environmental science and food, diet and health, to which Earlham Institute contributes strengths in genomics and bioinformatics. Close links exist between the NRP partners and new opportunities for collaboration in exciting new initiatives are under development. The NRP recently received £26M of government investment to facilitate innovation and further develop infrastructure to attract science and technology companies to the Park to enhance the vibrant environment and realise economic impact from research investment.
Earlham Institute is a UK hub for innovative Bioinformatics through research, analysis and interpretation of multiple, complex data sets. It hosts one of the largest computing hardware facilities dedicated to life science research in Europe. This has been boosted recently by an e-Infrastructure grant to expand the data storage capacity to a multi-petabyte unit, deploying a high performance cluster and large-memory server enabling the allocation of processes requiring several terabytes of computing memory.
Earlham Institute’s state of the art DNA sequencing facility operates multiple complementary technologies for data generation that provide the foundation for analyses furthering our fundamental understanding of genomes and how they function. We aim to be at the forefront of technological advances and are developing and implementing technologies to generate and analyse new types of data. We also develop novel platforms to provide access to computational tools and processing capacity for multiple academic and industrial users and promoting applications of computational bioscience. Earlham Institute has one fully owned subsidiary, Genome Enterprise Ltd (GEL) via which it offers genomic and bioinformatics services on a trading basis and works with commercial providers on a partnership basis. Earlham Institute also receives specific funding to enable knowledge exchange programmes which are supported across the institute teams.
Organisms and Ecosystems
The Quince group at EI focusses on experimental methods and bioinformatics for high resolution microbiomics.
Management and Leadership
- Ability to manage junior team members such as graduate students
Living in Norfolk
Postdoctoral Research Scientist (Integrated Microbiomics Bioinformatics)
Applications are invited for a Postdoctoral Research Scientist to join the Laboratory of Dr Chris Quince in the High-Resolution Microbiomics group at the Earlham Institute, based in Norwich, UK.
The High-resolution Microbiomics group focusses on both theoretical and experimental methods for microbial community analysis. Combining statistical bioinformatics with technological developments in sequencing and ‘omics data generation to resolve both the microbes present in a community and their functional roles and interactions.
We are seeking an individual with a high-level of quantitative skills to develop novel pipelines for the analysis of integrated 'omics data sets from the human microbiome. The project based in Dr Quince’s group will develop pipelines for combined processing of metagenome and metabolome data sets.
These pipelines will comprise initial validation, integration and visualisation. We will explore the development of new statistical methods for pathway reconstruction to link metabolic changes with data of clinical relevance. These will be used to gain a mechanistic understanding of the role of therapeutic diets in the treatment of Crohn’s disease through application to a large-scale paired fecal metagenome and metabolome data from clinical trials of diets for Crohn’s disease (funded by the Helmsley Trust). Finally, validation of predictions may be performed through experiments in artificial colon systems.
The successful candidate will curate combined metagenome and metabolome data sets, develop new tools for statistical analysis of integrated 'omics data sets, manage pipeline software on repositories and collaborate with colleagues within and outside the Institute to apply these methods to metagenome studies.
They will be responsible for disseminating research findings through attendance at international conferences, and publishing results as manuscripts in leading scientific journals or through other relevant media.
There will be opportunities to develop skills in:
• Problem solving
The ideal candidate:
The ideal candidate will have PhD in bioinformatics or statistics, or a related subject area with strong element of statistical modelling. They will also have a First-class degree in any area of science.
Knowledge of command line bioinformatics, software programming in at least one language (e.g. R, Python, C/C++) and a basic understanding of statistics are essential requirements of the role.
A proven record in scientific writing with experience of oral research presentations are also essential.
Knowledge of Bayesian statistics and probabilistic modelling, bioinformatics of metagenomics or metabolomics and a biological understanding of microbial communities and metabolism would be advantageous.
The ability to manage junior team members is also desirable.
Salary on appointment will be within the range £32,578 to £39,938 per annum depending on qualifications and experience. This is a full-time post for a contract of 2 years.
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.
The closing date for applications will be 11th October 2021