| POSITION : Research Fellow |
| SCHOOL/DEPARTMENT : School of Biomedical Sciences |
| REFERENCE: 08/100485 |
| CLOSING DATE : 4.00 pm, Friday 11 July 2008. |
| SALARY : £28,290 - £36,912 per annum (including contribution points.) |
| ANTICIPATED INTERVIEW DATE : 11 August 2008 |
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| JOB PURPOSE : |
| Design, develop and apply computational and statistical methods for the analysis of microarray data with an emphasis on network-based methods to study pathway related questions in the context of cancer. |
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| MAJOR DUTIES : |
| Designing and developing new computational and statistical methods that allow detection of pathological pathways in cancer. |
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| Application of the developed methods to microarray data from various cancer types. |
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| The individual appointed will be encouraged to formulate, write and submit grants for fellowship awards, project and travel support. Furthermore, he/she will be expected to attend and present at national and international meetings. |
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| Prepare, in consultation with supervisor, materials for publication in peer-review journals and presentation at conferences. |
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| Present regular progress reports on research to members of the research group or to external audiences to disseminate and publicise research findings. |
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| May be required to carry out occasional undergraduate supervision or demonstrating within the post holder's area of expertise and under the direct guidance of a member of academic staff. |
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| Any other reasonable duties within the general ambit of the post and competence of postholder. |
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| Planning and Organising: |
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| Planning of various aspects of the research project. |
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| Resource Management Responsibilities: |
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| Support the development and training of support staff and students by making available their research experience and expertise. |
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| Take shared responsibility for the uptake of lab equipments and exercise due diligence when using equipments. |
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| Internal and External Relationships: |
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| Communicate openly with group colleague's latest research findings and exciting results. |
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| Develop contacts with other groups and labs within the research community at Queen's and look to identify potential cross-discipline collaborations. |
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| Join national and international scientifically relevant societies. |
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| ESSENTIAL CRITERIA : |
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| 1. Hold a PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, Physics, Mathematics, Statistics or related quantitative fields. |
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| 2. At least three years relevant Research experience. |
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| 3. Strong programming skills (R/python/C++/Java) in a Linux environment and a solid mathematical background. |
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| 4. Analytical thinking. |
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| 5. Interests in the analysis of high-throughput data from complex diseases. |
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| 6. Good communication skills. |
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| 7. Must demonstrate good team working skills. |
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| 8. Organised and attentive to detail. |
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| 9. Enthusiasm for doing interdisciplinary research to learn not only cutting edge theoretical methods but also to study biologically meaningful questions. |
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| 10. Must be willing and able to travel to national and international meetings. |
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| DESIRABLE CRITERIA : |
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| 1. Knowledge in Molecular Biology is desirable. |
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| 2. Prior experience in the analysis of massive data sets. |
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| 3. Evidence of having presented at conferences. |
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| THE APPLICATION PROCESS : |
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| The Summary Sheet should be completed and returned with your curriculum vitae. |
| In customising your application details to our vacant post you should read the Job Details and criteria. You must demonstrate clearly and unambiguously how your experience and research background meets the requirements of the post. This should include a statement of published work and of research in progress. |
| It should be clear from your curriculum vitae what qualifications are held, when and where they were (or are to be) awarded, and what the subjects of the degrees and any dissertations are. Where applicants offer a higher degree that is not yet completed, the University may seek a status report from the institution in which the study is based. Applicants who possess a primary or higher degree not awarded under the UK classification system must submit transcripts of their degree awards, so that the Panel may assess if they have the equivalent level of qualification. |
| You submit your application by revisiting www.qub.ac.uk/jobs and clicking on Submit Application against the job you wish to apply for. Enter your email address (and confirm it), then use the Browse button to locate the forms on your computer and click Submit to email your application to the Personnel Department at Queen's. You must submit your application within the advertising period as the job will not be displayed on the Jobs page after the closing date and time has lapsed. |
| Alternatively post your application to The Director of Human Resources, The Personnel Department, Queen's University Belfast, Northern Ireland, BT7 1NN (Tel: 028 9097 3044, Fax: 028 9097 1040). You should note that the University does not normally consider applications that are received after the closing date. You should also note that where post, fax or e-mail services are used, the onus for ensuring receipt in the PERSONNEL DEPARTMENT by the closing date and time rests with the applicant. |
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| EQUAL OPPORTUNITIES MONITORING : |
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| The recruitment panel will not have access to the monitoring information you have completed and it will not be used in the selection procedure. |
