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Position: Research Assistant/Associate
Institution: University College London
Department: Institute for Women’s Health
Location: London, United Kingdom
Duties: The post-holder will be required to contribute to a CRUK-funded project aimed at improving the early detection of ovarian, pancreatic and colorectal cancers through the development of biomarker algorithms using blood-borne biomarker measurements and epidemiological data. They will be responsible for handling and analysing large datasets using statistical methods, developing and applying novel machine learning approaches for cancer prediction, including longitudinal and network biomarker modelling approaches and using bioinformatics tools to gain insight into the underlying biology of cancer progression at a system level
Requirements: The post-holder is expected to have a BSc, MSc or PhD in mathematics and the necessary computational mathematics experience to carry out the work, particularly in developing and applying advanced machine learning methods to biological problems and the necessary IT and statistics skills to record and analyse large datasets. They must have technical knowledge of the methods to be used, have excellent communication skills to be able to effectively present work to colleagues and be able to work within a team. They must be organised and have a meticulous attention to detail both experimentally and with record keeping. They must be self-motivated and have the initiative to work independently
   
Text: Research Assistant/Associate , - Ref:1729387 Click here to go back to search results Apply Now UCL Department / Division Institute for Women?s Health Specific unit / Sub department Women's Cancer Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) 6b ?30,316 - ?31,967 per annum Grade 7: ?34,635 -?36,549 per annum Duties and Responsibilities The Research Department of Women?s Cancer has a strong reputation in cancer research, with particular focus on the screening and diagnosis of cancers through integration of clinical and basic science expertise. The overall outcomes for patients with suspected cancer are currently poor and early detection is key to improving this. The post-holder will be required to contribute to a CRUK-funded project aimed at improving the early detection of ovarian, pancreatic and colorectal cancers through the development of biomarker algorithms using blood-borne biomarker measurements and epidemiological data. They will be responsible for handling and analysing large datasets using statistical methods, developing and applying novel machine learning approaches for cancer prediction, including longitudinal and network biomarker modelling approaches and using bioinformatics tools to gain insight into the underlying biology of cancer progression at a system level. The post is initially funded until 31.07.2021. Key Requirements The post-holder is expected to have a BSc, MSc or PhD in mathematics and the necessary computational mathematics experience to carry out the work, particularly in developing and applying advanced machine learning methods to biological problems and the necessary IT and statistics skills to record and analyse large datasets. They must have technical knowledge of the methods to be used, have excellent communication skills to be able to effectively present work to colleagues and be able to work within a team. They must be organised and have a meticulous attention to detail both experimentally and with record keeping. They must be self-motivated and have the initiative to work independently. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact Christina Ahlfors ( c.ahlfors@ucl.ac.uk ). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 12 Jul 2018 Latest time for the submission of applications 23:59 Interview date 16th/17th of July 2018 Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description Apply Now
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