Develop and establish novel methodologies and maintain and improve existing pipelines in collaboration with members of research team. To provide computational and statistical analysis and plans for studies and to contribute to the overall planning of the studies. To advise and assist lab and other group members working on relevant project. Conduct detailed analysis of datasets. Identify and troubleshoot technical or scientific problems, working collaboratively with database experts and scientific programmers. Contribute to manuscripts, presentation and other means of disseminating results
Ph.D. in a relevant subject and strong background in at least one of Computer Science, Statistics, Machine-Learning and Bioinformatics. Excellent programming skills in at least one programming languages preferably python and/or R. Ability to develop novel computational methods, algorithms and data processing pipelines. Excellent communication and presentation skills. Willingness to work closely with experimentalists. Demonstrable experience, ability and practical success in biostatistics or bioinformatics. Proven record of scientific publications in relevant subjects. Proficiency in the use of statistical programming languages. Demonstrable ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule. Ability to advise and influence the work of others. Ability to draft section of manuscripts for publication and present statistical results at conferences. Ability to independently plan and mange research projects as well as being a good team member, able to work productively with other members in collaborative projects
Computational Biologist MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford Grade 7: £31,604 -£38,833 p.a. We are seeking a talented and highly motivated postdoctoral fellow specialising in computational biology and bioinformatics to join Professor Vincenzo Cerundolo and Dr Hashem Koohy's within the Radcliffe Department of Medicine. The role is sited in the MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, JR Hospital, Headington, Oxford. The main focus of the post is to develop and/or further improve the existing computational/mathematical models to predict personalised vaccine targets for cancer patients. This would require taking integrative and machine learning approaches on patients high throughput omics data to further understand the antigen processing and loading as well as T cell response in cancer. The successful candidate will conduct research in a dynamic and highly collaborative environment. The computational and machine-learning aspects of the position will be supervised by Dr Hashem Koohy and the cancer immunology of the project will be supervised by Professor Vincenzo Cerundolo. You will hold a PhD in a relevant subject and have a strong background in at least one of computer science, statistics, machine-learning and bioinformatics. You will have excellent programming skills in at least one programming language, preferably python and/or R and be able to develop novel computational methods, algorithms and data processing pipelines. The post is full-time and fixed-term for up to 36 months in the first instance. Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application. Only applications received before 12.00 midday on 3 October 2018 will be considered. Contact Person : HR Officer Vacancy ID : 135967 Contact Phone : Closing Date : 03-Oct-2018 Contact Email : HR@RDM.OX.AC.UK Click on the link(s) below to view documents Filesize Computational_Biologist_Final_HK 500.5
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