UNIVERSITY OF OXFORD MMCS COMPUTATIONAL EPIDEMIOLOGIST WELLCOME TRUST CENTRE FOR HUMAN GENETICS, ROOSEVELT DRIVE, HEADINGTON, OXFORD, OX3 7BN Grade 7: £30,434 - £37,394 with a discretionary range to £40,847p.a.
Applications are invited for a Malaria Modeling Consortium Secretariat (MMCS) Computational Epidemiologist, in the Spatial Ecology and Epidemiology Group, under the supervision of Professor Simon Hay located within the Wellcome Trust Centre for Human Genetics.
You will liaise with MMC members and the Executive Committee to determine key malaria elimination questions, develop these into work packages and coordinate efforts across the MMC to provide practical answers to those questions before disseminating them to a variety of different public health audiences.
You will be liaising with stakeholders to translate annual objectives into a series of modeling work packages, leading the coordination of these results and representing the MMC at external meetings, writing and leading the publication of model synthesis manuscripts, developing ideas for new research projects and raising research funds through grant applications.
You will have a first or upper second class Bachelor degree and a PhD or equivalent professional experience in a relevant discipline (e.g. statistical modelling, epidemiology, ecology, computer science), excellent communication skills, including the ability to write for publication, present research proposals and results, evidence of project planning and delivering results by fixed deadlines, strong analytical and quantitative skills, including experience of working with a variety of different modelling approaches, e.g. statistical, mechanistic, IBMs, etc. A strong publication record and proven ability to work collaboratively with different research groups are also essential.
The post is a fixed-term for 1 year and is funded by the Bill & Melinda Gates Foundation.
Applications for this vacancy are to be made online. To apply for this role and for further details, including a job description and person specification, please click on the link below:
Only applications received before 12.00 midday on Wednesday, 11th March 2015 can be considered. Please quote reference 116811 on all correspondence. You will be required to upload a supporting statement as part of your online application.
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UNIVERSITY OF OXFORD POSTDOCTORAL RESEARCH SCIENTIST IN STATISTICAL FUNCTIONAL GENOMICS WITHIN ULTRA-DD WELLCOME TRUST CENTRE FOR HUMAN GENETICS, ROOSEVELT DRIVE, HEADINGTON, OXFORD, OX3 7BN Grade 8: £38,511 to £45,954 with a discretionary range to £50,200 p.a.
Applications are invited for the position of Postdoctoral Research Scientist in Statistical Functional Genomics within ULTRA-DD, a European-wide consortium funded by the Innovative Medicines Initiative. ULTRA-DD seeks to validate new protein targets by generating and testing high quality chemical probes and antibodies in models of human inflammatory disease based on clinical samples to facilitate drug discovery and greater understanding of disease pathology. You will play a key role in the identification and prioritisation of potential targets for ULTRA-DD through integrative bioinformatic led approaches.
We seek an exceptional individual who will be able to combine expertise in bioinformatics and the biology of inflammation and immunity, combined with effective project management skills to ensure delivery of milestones and excellent inter-disciplinary interactions. You will have the opportunity to develop your skills as a research scientist working in an exceptional world-class environment for bioinformatic analysis complemented by excellence in basic science research. Your work will provide the opportunity for innovative method development and scientific discovery.
You will have a PhD in Statistical genetics, Statistics, Bioinformatics, Mathematics, Physics, Computer Science or a related discipline together with relevant research experience in statistical genetics and/or bioinformatics, excellent analytical and quantitative skills, experience of project management and collaborative interdisciplinary research and a strong publication record.
The position is funded by European Union, Innovative Medicines Initiative (IMI) and is fixed term for up to 3 years in the first instance.
To apply for this role and for further details, including a job description and a person specification, please click on the link below:
Only applications received before 12:00 midday on a Friday 27th March 2015 will be considered.
Please quote ref. 117147 on all correspondence. You will be required to upload a CV and supporting statement as part of your online application.
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UNIVERSITY OF OXFORD HIGH THROUGHPUT SEQUENCING BIOINFORMATICIAN WELLCOME TRUST CENTRE FOR HUMAN GENETICS, ROOSEVELT DRIVE, HEADINGTON, OXFORD, OX3 7BN Grade 8: £38,511 to £45,954 with a discretionary to £50,200 p.a.
Applications are invited for a High Throughput Sequencing Bioinformatician within the Taylor group at the Wellcome Trust Centre for Human Genetics. The interdisciplinary nature of the group provides a diverse and stimulating array of challenges relating to biology, sequence analysis, statistics and computer programming and this, combined with collaboration with the Molecular Diagnostics Centre at the John Radcliffe Hospital, provides an active and rich research environment.
You will be responsible for the analysis of next generation sequencing data from a range of genetics research projects. You will apply analysis methods and where appropriate, develop novel methods and algorithms, and work on setting up and maintaining the necessary data processing pipelines. You will work closely with the group’s multi-disciplinary project teams, encompassing laboratory scientists and clinicians, and with the WTCHG high throughput sequence analysis group within the WTCHG bioinformatics core.
You should have a PhD in bioinformatics or statistical genetics and preferably have strong post-doctoral experience in applied DNA sequence analysis. Experience in the analysis of next generation sequencing data is highly desirable. You will need excellent programming skills in languages such as Perl, C/C++, R, Python, Java or similar. Ability to work as part of a team is essential.
The position is until 31st January 2017 and funded by the Health Innovation Challenge Fund in the first instance.
To apply for this role and for further details, including a job description and person specification, please click on the link below:
Only applications received before 12:00 midday on Friday 27th March 2015 can be considered. Interviews will be held on Thursday 9th April.
Please quote reference 117366 on all correspondence. You will be required to upload a CV and supporting statement as part of your online application.
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