Vacancy Details: Bioinformatician

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John Innes Centre

JIC is an independent, international centre of excellence in plant science and microbiology. Our mission is to carry out fundamental and strategic research, to train scientists and to make our findings available to society.

The scientific research at the Centre makes use of a wide range of disciplines in the biological and chemical sciences, including cell biology, biochemistry, chemistry, genetics and molecular biology.

The John Innes Centre prides itself on being a welcoming and inclusive working environment for all. We have a diverse and multicultural scientific community and thrive on our European and international links. The John Innes Centre is proud to hold a prestigious Athena SWAN Gold award, recognising the impact of our work in promoting gender equality in science. For more information, go to http://www.jic.ac.uk/training-careers/athena-swan/. We are also a proud member of the Stonewall Diversity Champion’s programme and, as a Disability Confident employer, guarantee to offer an interview to all disabled applicants who meet the essential criteria for the post.

The John Innes Centre is a registered charity (No. 223852), limited by guarantee (registered in England No. 511709) and is an Equal Opportunities Employer.

Athena Swan

disability confident employer

   Stonewall Diversity Champion

Advancing gender equality in science, engineering and technology.

Post Number1003287
Job TitleBioinformatician
Closing Date30 Jan 2018
GradeSC6
Starting Salary£31,250 - £38,100
Hours per week 37
Project Title Data analysis and data mining on the RNA structure profiling deep sequencing data
Expected/Ideal Start Date 01 Mar 2018
Months Duration 20
Main purpose of the job Applicants are invited for a postdoctoral scientist in the group of Dr. Yiliang Ding in the Department of Cell and Developmental Biology to study the role of RNA structure in the post-transcriptional regulation of gene expression in genome-wide scale. The successful candidate will join a team at JIC working on the Big Data Mining of the genome-wide in vivo RNA structure study and corresponding modelling development. They will perform deep sequencing data analysis and feature extraction from large-scale RNA structure transcriptome dataset. They will also establish novel bioinformatics analysis pipelines for newly collected transcriptome data as well as identifying new model for interpret the RNA structure probing information.
Department Cell & Developmental Biology
Development continues throughout the life of the plant. While many linear pathways affecting development have been discovered and are illustrated by elegant genetic studies, the challenge of the future will be for us to understand how these developmental pathways are integrated, both with themselves as well as with environmental signals, to enable a mature plant to grow from a seed.  Guided by evolutionary principles, the Department uses its knowledge of biological processes obtained in laboratory organisms such as Arabidopsis to understand processes in crop plants such as Brassicas and cereals.  To study this interaction of the plant genome with internal developmental networks and the environment, the Department uses a combination of genetic, cell biological, molecular and evolutionary strategies. The insights we are gaining provide both an increasingly detailed knowledge of the proteins involved in diverse regulatory mechanisms and a conceptual framework in which this knowledge can be related and eventually integrated into a molecular description of plant cell function.   The knowledge the department is creating is relevant to agriculture. Genes that control plant stature, form, over-wintering responses and growth are potentially useful for improving crop performance.
Group Details The Ding Laboratory investigates the role of RNA structure in the post-transcriptional regulation of gene expression. We are also exploring how to interpret the RNA structure probing data from the deep sequencing technique. We developed two novel and powerful platforms to study RNA structure in vivo and across diverse species at both the genome-wide scale (Structure-Seq). These breakthroughs have removed technological barriers and opened up new avenues for RNA biology research. Our lab utilises multidisciplinary knowledge and approaches in areas of nucleic acid chemistry, RNA biology and bioinformatics (data mining).
Advert Text Applicants are invited for a Bioinformatician or Computational biologist in the group of Dr. Yiliang Ding in the Department of Cell and Developmental Biology at the John Innes Centre to study the role of RNA structure in the post-transcriptional regulation of gene expression.

The successful candidate will join a team working on the Big Data Mining of the genome-wide RNA structure study. The successful post holder will perform deep sequencing data analysis, statistical analysis and feature extraction from large-scale RNA structure transcriptome dataset. They will also establish novel bioinformatics analysis pipelines for newly collected transcriptome data as well as develop new methods for interpreting RNA structure probing data. Details of the group can be found at https://www.jic.ac.uk/scientists/yiliang-ding/

The successful post holder will have an excellent computer science, applied mathematics, statistics or bioinformatics background. Extensive experience in genomic data analysis, machine learning and data mining is desirable but not essential.

The John Innes Centre is a world-class institute and is looking to appoint an exceptional and highly motivated candidate who has, or expects to soon receive a PhD in Computational Biology. We will provide the job-holder with opportunities to develop their skills and knowledge by excellent training opportunities in the fields of Big Data Mining and RNA biology.

Salary on appointment will be within the range £31,250 - £38,100 per annum depending on qualifications and experience. This post is for a contract of 20 months.
Key relationships The successful candidate will primarily interact with other researchers including biologists, chemists and computer scientists in the Ding Lab. They will also have regular interactions with the lab collaborators around the world. The deep sequencing library construction and analysis will require the candidate to interact with Earlham Institute. They will also interact with the other researchers at the institute.
Main Activities & ResponsibilitiesPercentage
Establishing novel bioinformatics analysis pipelines for newly collected transcriptome data and new method development35
Deep sequencing, data management, data analysis, statistical analysis, feature extraction from large-scale biological datasets30
Identifying functional RNA structure features.25
To interact with lab collaborators, NBI bioinformatics research community; to prepare and present research results, presentations, reports and manuscripts, to attend internal and external meetings.5
As agreed with the line manager, any other duties commensurate with the nature of the post.5

Education & QualificationsRequirementImportance
PhD (full award or expected within 6 months) in Computational BiologyEssential

Specialist Knowledge & SkillsRequirementImportance
Proficiency in computer programming, e.g. Java, Python, or CEssential
Proficiency in statistical analysis on big datasets using R or MATLABEssential
Understanding of genome analysis and data mining skillsEssential
Knowledge of modelling and simulationDesirable
An understanding of data driven algorithm design and related software solution implementationDesirable
Knowledge of machine learningDesirable

Relevant ExperienceRequirementImportance
Experience in computational RNA genomics data analysisEssential
Experience in genomic data analysisDesirable
Experience in data miningDesirable

Interpersonal & Communication SkillsRequirementImportance
Excellent communication skills, both written and oral, including the ability to present complex information with clarity Essential
Evidence of intellectual independence, rigour and creativityEssential
Experience of oral presentation to scientific audiencesEssential
Good interpersonal skills, with the ability to work as part of a teamEssential
Demonstrated ability to work independently, using initiative and applying problem solving skillsEssential
Excellent time management and organisational skillsEssential
Ability to collaborate with internal and external stakeholdersEssential
Ability to follow instructions/SOPsEssential
Demonstrated creativity in developing new scientific ideas Essential
Promotes and strives for continuous improvementEssential

Additional RequirementsRequirementImportance
Promotes equality and values diversityEssential
Ability to maintain confidentiality and security of information where appropriate Essential
Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to workEssential

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