Senior Bioinformatician
Post Details
Job Title
Senior Bioinformatician
Post Number
1003626
Closing Date
4 Mar 2019
Grade
SC5
Starting Salary
£39,150 - £47,850
Hours per week
37
Expected/Ideal Start Date
21 Mar 2019
Months Duration
Indefinite

Job Description

Main Purpose of the Job

Applications are invited for a Senior Bioinformatician to join the Informatics Group, within the Computational and Systems Biology Department at the John Innes Centre.

By 2050, the world population will be nearly 10 billion. Feeding such a population requires better crops, as well as ways to cope with losses from plant diseases and a changing climate. At the same time, our antibiotics are failing us we need to seek new approaches to deal with resistance.

The JIC's research programme seeks solutions to these global scale problems. As well as the immediate challenges, solving problems in the longer term requires a better understanding of the fundamental science of plant and microbial biology.

This research programme depends critically on the fast moving and complex technologies involved in Computational Biology. This area requires wide ranging expertise and skills in understanding, analysing and visualising complex datasets. The JIC seeks to recruit an excellent core Bioinformatician to help meet these challenges.

The successful candidate will join a highly skilled and motivated team working at the interface between science and computing. The position provides an exciting opportunity to work on cutting edge research in biology, exploring new technological approaches, and applying those to challenging real world problems in partnership with world leading scientists.

Key Relationships

The successful candidate will work within the Informatics group. They will interact regularly with science staff from across the institute, working with individual research groups as well as supporting the ISPs (Institute Strategic Programmes). They may participate in external consultancy work for commercial companies or other research organisations.

They will also work with the NBI Partnership Computing and Computing Infrastructure for Science teams to manage shared infrastructure and services. The post holder will also, where appropriate, work with the other institutes on site (the Sainsbury Laboratory, the Earlham Institute and the Quadram Institute Bioscience), as well as the University of East Anglia (UEA).

Main Activities & Responsibilities

Percentage
Work with JIC research groups on scientific projects, providing computational biology expertise throughout the project lifecycle, from grant writing through data analysis to manuscript preparation. This will include guidance on the use of tools and pipelines and interpretation of their results and, where necessary, carrying out analyses directly.
40
Develop and maintain cutting edge tools and resources (software, pipelines, databases, visualisation tools) both for use within the core bioinformatics team, and wider use across JIC.
25
Train and mentor JIC staff and students in computational biology, through development and delivery of structured courses, as well as informal one on one training and peer to peer coaching.
20
Champion and maintain effective data management practices.
10
Disseminate work through internal and external talks and workshops, publications and engagement with the wider scientific community and public.
5
As agreed with line manager, any other duties commensurate with the nature of the post

Person Profile

Education & Qualifications

Requirement
Importance
Undergraduate degree, or equivalent, in Biology, Physics, Mathematics, Computational Biology or a related discipline
Essential
PhD in Biology, Physics, Mathematics, Computational Biology or a related discipline
Desirable

Specialist Knowledge & Skills

Requirement
Importance
Broad range of expertise in the management and computational analysis of biological data
Essential
Strong command of line shell skills, including use of scripting to automate tasks
Essential
Programming skills in an interpreted (e.g. Python, Perl, Ruby) or compiled (e.g. C, C++, Java) language
Essential
Ability to understand the key features of biological problems that are amenable to computational approaches
Essential
General problem solving skills
Essential

Relevant Experience

Requirement
Importance
Experience with bioinformatics methods, techniques and tools including comparative evaluation of tool effectiveness and adaptation of existing tools
Essential
Experience providing training in bioinformatics
Essential
Working in a HPC (High Performance Computing) environment with the associated tools (schedulers such as LSF, SLURM, PBS, etc) or cloud computing
Desirable
Experience with version control systems and associated hosting, such as Git and GitHub
Desirable

Interpersonal & Communication Skills

Requirement
Importance
Excellent verbal and written communication skills
Essential
Enthusiastic and self motivated
Essential
Ability to work effectively as part of a team, sharing knowledge and techniques and providing the ability to cover for others
Essential
Ability to work independently, managing individual projects through to completion
Essential
Ability to interact effectively with scientists to discuss techniques and data, and to present technical concepts clearly
Essential
Ability to train and mentor others in computational biology techniques and tools
Essential

Additional Requirements

Requirement
Importance
Willingness to work occasionally during weekends or out-of-hours
Essential
Ability to undertake occasional travel with possible overnight stays
Essential
Promotes equality and values diversity
Essential
Interest in working within an academic environment
Essential
Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work
Essential
Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute
Essential
Attention to detail
Essential

Who We Are

John Innes Centre

The John Innes Centre is an independent, international centre of excellence in plant science and microbiology, carrying out fundamental and strategic research, to train scientists and making our findings available to society.

Our research makes use of a wide range of disciplines in the biological and chemical sciences including; cell biology, biochemistry, chemistry, genetics and molecular biology.

We pride ourselves 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. We are proud to hold a prestigious Athena SWAN Gold award, recognising the impact of our work in promoting gender equality in science. 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.

Department

Computational and Systems Biology

The Department of Computational and Systems Biology conducts leading research across a broad range of the biological sciences, with a special focus on spatial problems in plant and microbial research. Particular strengths of the department include mathematical and statistical modelling of the physical mechanisms underlying biological pattern formation and comparative genomics. In addition, the department has strong bioinformatics that underpins the research of the institute through training, software development and statistical analysis.
Whilst much of the research is carried out in close collaboration with world-leading experimental groups within the John Innes Centre, we have strong international collaborations with experimentalists and theoreticians worldwide.

Group Details

The JIC Informatics platform exists to provide excellent support in both bioinformatics and scientific computing. Its specific functions are:
* To develop and maintain systems, standards, tools and infrastructure for carrying out routine analyses, as well as carrying out those analyses for groups without the necessary expertise.
* To solve novel challenges at the cutting edge of bioinformatics and scientific computing.
* To train and mentor scientists at all levels, with the aim of raising the standards of bioinformatics and data management across JIC, enabling groups to become as self-sufficient as possible.

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Senior Bioinformatician

Applications are invited for a Senior Bioinformatician to join the Informatics Group, within the Computational and Systems Biology Department at the John Innes Centre (JIC) based in Norwich, UK.

Background:

By 2050, the world population will be nearly 10 billion. Feeding such a population requires better crops, as well as ways to cope with losses from plant diseases and a changing climate. At the same time, our antibiotics are failing us and we need to seek new approaches to deal with resistance.

The JIC's research programme seeks solutions to these global scale problems. As well as the immediate challenges, solving problems in the longer term requires a better understanding of the fundamental science of plant and microbial biology.

This research programme depends critically on the fast moving and complex technologies involved in Computational Biology. This area requires wide ranging expertise and skills in understanding, analysing and visualising complex datasets. The JIC seeks to recruit an excellent core Bioinformatician to help meet these challenges.

The role:

The successful candidate will join a highly skilled and motivated team working at the interface between science and computing. The position provides an exciting opportunity to work on cutting edge research in biology, exploring new technological approaches, and applying those to challenging real world problems in partnership with world leading scientists.

The post holder will work with JIC research groups on scientific projects, providing computational biology expertise throughout the project lifecycle, from grant writing through data analysis to manuscript preparation. This will include guidance on the use of tools and pipelines and interpretation of their results and, where necessary, carrying out analyses directly.

Other important elements of the role include developing and maintaining cutting edge tools and resources, such as software, pipelines, databases and visualisation tools.

The post holder will also train and mentor JIC staff and students in computational biology, through development and delivery of structured courses, as well as informal one to one training and coaching.

The ideal candidate:

To be considered for this post, candidates must possess a Bachelors degree, or equivalent, in Biology, Physics, Mathematics, Computational Biology or related discipline. A PhD in a similar field would be advantageous but not essential.

Candidates must have a broad range of expertise in the management and computational analysis of biological data. They should also possess a strong command of line shell skills and programming skills (e.g. Python, Perl, Ruby, C, C++ or Java). Previous experience of providing training in bioinformatics is essential, as are excellent communication and interpersonal skills.

Additional information:

Salary on appointment will be within the range £39,150 to £47,850 per annum depending on qualifications and experience. This is a full time post offered on a permanent basis.

We are an equal opportunities employer, actively supporting inclusivity and diversity. As a Disability Confident organisation, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. The John Innes Centre is also proud to hold a Gold Award from Athena SWAN and is a member of Stonewall’s Diversity Champions programme.

The closing date for applications will be 4 March 2019.

The John Innes Centre is a registered charity (No. 223852) grant-aided by the Biotechnology and Biological Sciences Research Council and is an Equal Opportunities Employer.