英国牛津大学2024年招聘访问学者、博士后（数据科学家/生物信息学家）

牛津大学（University of Oxford），简称“牛津”（Oxford），位于英国牛津，是一所公立研究型大学，采用传统学院制。是罗素大学集团成员，被誉为“金三角名校”、“G5超级精英大学”，全球大学校长论坛成员。

牛津大学是英语世界中最古老的大学，也是世界上现存第二古老的高等教育机构。牛津大学的具体建校时间已不可考，但有档案明确记载的最早的授课时间为1096年，亨利二世在1167年禁止英国学生就读巴黎大学，因得到了英国王室的大力支持而快速发展。从1902年起，牛津大学还设立了面向全世界本科生的“罗德奖学金”。

2024QS世界大学排名发布，牛津大学位列第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.