英國牛津大學(xué)2024年招聘博士后（數(shù)據(jù)科學(xué)家/生物信息學(xué)家）
牛津大學(xué)（University of Oxford），簡稱“牛津”（Oxford），位于英國牛津，是一所公立研究型大學(xué)，采用傳統(tǒng)學(xué)院制。是羅素大學(xué)集團成員，被譽為“金三角名校”、“G5超級精英大學(xué)”，全球大學(xué)校長論壇成員。
牛津大學(xué)是英語世界中最古老的大學(xué)，也是世界上現(xiàn)存第二古老的高等教育機構(gòu)。牛津大學(xué)的具體建校時間已不可考，但有檔案明確記載的最早的授課時間為1096年，亨利二世在1167年禁止英國學(xué)生就讀巴黎大學(xué)，因得到了英國王室的大力支持而快速發(fā)展。從1902年起，牛津大學(xué)還設(shè)立了面向全世界本科生的“羅德獎學(xué)金”。
2024QS世界大學(xué)排名發(fā)布，牛津大學(xué)位列第3名。
Postdoctoral Data Scientist/Bioinformatician
University of Oxford
Location: Oxford
Salary: £37,524 to £45,763 Grade 07S
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th September 2024
Closes: 23rd October 2024
Job Ref: 175353
About the role
We are seeking a creative and enthusiastic data scientist or bioinformatician to join an exciting project to uncover patterns of genetic alterations associated with treatment susceptibility in prostate cancer. The project is funded by a recent Prostate Cancer UK award to identify translational results in data compiled by the Pan Prostate Cancer Group (www.panprostate.org), a worldwide initiative to bring together multiomic data from sites across the world. The outputs of this project will pave the way for treatments to be targeted to subsets of patients who will benefit the most, leading to improved outcomes for patients while minimising unnecessary treatments and associated side effects. The position will be based at Old Road Campus, Oxford, but you may be able to agree a pattern of regular remote working with your line manager.
About you
Your primary responsibility will be to analyse our expansive multiomic prostate cancer data set and identify features that enable integration with more limited data arising from clinical trials. You will therefore need strong programming and data analysis skills, with proficiency using machine learning methods. You should be willing to learn and apply both bioinformatics and machine learning methods to curate and compare disparate data sets from different sources. You will be comfortable working independently, while also contributing ideas and communicating results to collaborators across the wider research project.
You will have completed, or be near completion of, a PhD/DPhil in Mathematics, Statistics, Computer Science, Bioinformatics, Physics, Engineering, or a related discipline. You will have the ability to develop academic publications, evidenced through a track record of contributing to publications and presentations.
Previous experience in advanced machine learning approaches for tabular data, familiarity with bioinformatics tools for processing DNA or RNA sequencing outputs, and knowledge of cancer biology, genetics, and evolution would be desirable.
This full-time post is available immediately and is fixed-term until 1st June 2027 in the first instance.
Application Process
If you would like to discuss this role please contact dan.woodcock@nds.ox.ac.uk
Applications for this vacancy are to be made online. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application. Please quote reference NDSA947 on all correspondence.
Only applications received before noon Wednesday 23rd October 2024 can be considered.
Interviews will be held on the 5th November 2024.
