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Position: Postdoctoral Research Scientist - Statistical Machine Learning
Institution: University of Oxford
Department: Big Data Institute
Location: Oxford, Oxfordshire, United Kingdom
Duties: We are seeking to appoint a Postdoctoral Researcher for Stratified Medicine at the Big Data Institute (BDI) to undertake research in statistical machine learning methodology within the broad area of stratified medicine, and molecular diagnostics for cancer in particular. You will research novel statistical methods for the integrated analysis of multiple genomic data linked to clinical outcomes. You will undertake research in statistical machine learning methodology to identify and characterise precision biomarkers using well characterised clinical data sets. You will assist in the development of statistical and machine learning solutions for integrated analysis of multidimensional “omics” datasets analysis linked to clinical outcomes
Requirements: You will have experience in high-dimensional data analysis, integration and interpretation, preferably in human disease and cancer in particular and have the proven ability to communicate technical advice and intellectual support and assist others in tools relating to data processing and analysis. You must either hold or be close to completion of a PhD in statistics, statistical machine learning, biostatistics, statistical genetics or similar subject
   
Text: Postdoctoral Research Scientist in Statistical Machine Learning for Stratified Medicine Big Data Institute, The Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Headington, Oxford Grade 7: £32,236 - £39,609 with a discretionary range to £43,267 p.a. We are seeking to appoint a Postdoctoral Research Scientist in Statistical Machine Learning for Stratified Medicine at the Big Data Institute (BDI) based at University of Oxford, to undertake research in statistical machine learning methodology within the broad area of stratified medicine, and molecular diagnostics for cancer in particular. You will research novel statistical methods for the integrated analysis of multiple genomic data linked to clinical outcomes. You will undertake research in statistical machine learning methodology to identify and characterise precision biomarkers using well characterised clinical data sets. In addition, you assist in the development of statistical and machine learning solutions for integrated analysis of multidimensional omics datasets analysis linked to clinical outcomes. You will have experience in high-dimensional data analysis, integration and interpretation, preferably in human disease and cancer in particular and have the proven ability to communicate technical advice and intellectual support and assist others in tools relating to data processing and analysis. You must either hold or be close to completion of a PhD in statistics, statistical machine learning, biostatistics, statistical genetics or similar subject. This full-time position is fixed-term until 31 March 2020. Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application. The closing date for this vacancy will be 12.00 noon on Monday 3 December 2018. Contact Person : HR Assistant Vacancy ID : 137894 Contact Phone : 01865 612892 Closing Date : 03-Dec-2018 Contact Email : bdi.hr@ndm.ox.ac.uk Click on the link(s) below to view documents Filesize 137894 - PDRS JD 631.4
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