Wellcome Trust Sanger Institute
CURRENT JOB TITLE:Senior Bioinformatician – Pathogen Informatics
SALARY RANGE: £27316 to £37690 per annum dependent on experience.
CLOSING DATE: 8th January 2012
ROLE PROFILE REFERENCE [FOR HR USE ONLY]:133-16
REPORTS TO [NAME AND JOB TITLE]:Senior Scientific Manager, Pathogen Informatics
TEAM NO:Helminth Genome Improvement
MANAGEMENT RESPONSIBILITY FOR:None
INTERACTS WITH: WHO (TEAMS/PEOPLE/ORGANISATIONS): Own team members
Pathogen informatics: Scientific managers (Helminth genome improvemt & pathogen informatics)
Sequencing Informatics teams
Pathogen Genomics scientists
Purpose of the interaction: Identify and discuss requirements. Exchange ideas; provide support for complex computational tasks. Coordinate activities of other bioinformaticians in team. Influence, give/obtain knowledge and advice.
Co-develop solutions and avoid duplication of effort. Discuss developments and provide updates and ideas.
Software testing.
Agree to development and analysis tasks, inform on and evaluate progress.
Keep up to date with approaches and techniques. Identify and agree short-term targets.
Gather use-case observations and requirements and feedback to developers.
Understand user requirements and ensure that the software meets them; and that the scientists know how to use the software.
ROLE PURPOSE AND PRIMARY OBJECTIVE:
Work within the genome improvement team and in collaboration with the pathogen informatics team, developing bioinformatics pipelines and providing and coordinating computational support to process sequencing data for genome improvement
CORE ACCOUNTABILITIES [IN APPROXIMATE ORDER OF IMPORTANCE TO ROLE PURPOSE]:
1. Troubleshoot complex data-processing or software-related problems within the helminth genome improvement group
2. Identify realistic requirements for new software and work, with developers in the Pathogen Informatics team, on their design and implementation or contribute to existing software by extending or modifying standard pipelines and systems where appropriate
3. Perform bespoke analyses of new data types and develop software and provide training so that other members of the group can subsequently carry out similar analyses
4. Participate in the development of novel bioinformatics software tools and techniques for genome improvement
5. Regularly interact with scientific staff to assess results and troubleshoot problems
6. Plan, organise and execute own work, and oversee the work of more junior bioinformaticians, within projects of varying sizes to meet agreed, standards, objectives and deadlines
7. Document protocols and provide guidance to allow genome analysts to correctly use and have a good understanding of the potential (and limitations) of assembly-related tools
8. Present data to wide ranging audiences (including contributions to publications) for information exchange and to demonstrate the progress and impact of own work
9.Maintain relevant knowledge of the literatures, internet forums, etc and research, innovate and evaluate different methods / tools to determine the best and most up to date approaches to solving problems faced in genome improvement
10.Contribute to papers and posters to communicate work to internal and external scientific audiences to contribute to the national and international scientific enterprise
Most complex/challenging aspects of the role: Balancing the complex requirements for software analysis solutions against the limited programmer resources to find effective yet efficient solutions
KNOWLEDGE, SKILLS AND EXPERIENCE REQUIRED:
ESSENTIAL: PhD (or MSc plus extensive practical experience) in bioinformatics or a related area
Significant demonstrable experience in bioinformatics
Experienced Perl or Python programmer
Knowledge and experience of UNIX / LINUX on an advanced level
Experience of dealing with large data sets and running software on a compute farm
Good theoretical knowledge of DNA & RNA bioinformatics
Good theoretical knowledge of DNA structure and organisation
Highly developed problem solving skills
Possess a keen attention to detail
Ability to work effectively within a team, contributing to discussions and disseminating knowledge and information
Ability to effectively communicate at all levels, including appropriate formal or informal presentations
Ability to develop and maintain good working relationships both within and outside a team
DESIRABLE: Experience of training and supervising other team members
Experience with processing next-generation sequencing data
Practical knowledge and experience of relational databases
Knowledge of parasitology
Working knowledge of molecular biology
Good theoretical knowledge of common molecular biological approaches incl. cloning & DNA manipulation
FOR DETAILS, PLEASE REFER
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