Data Scientist/Bioinformatician

3 hours ago

Oxford, Oxfordshire, United Kingdom University of Oxford Full time
Unlocking the Secrets of Prostate Cancer

We are seeking a talented and motivated data scientist or bioinformatician to join our team at the University of Oxford and contribute to a groundbreaking project aimed at uncovering the patterns of genetic alterations associated with treatment susceptibility in prostate cancer.

About the Project

Funded by a recent Prostate Cancer UK award, this project aims to identify translational results in data compiled by the Pan Prostate Cancer Group, a worldwide initiative to bring together multiomic data from sites across the globe. The outputs of this project will pave the way for targeted treatments to be developed, leading to improved outcomes for patients while minimizing unnecessary treatments and associated side effects.

Your Role

As a key member of our team, you will be responsible for analyzing our expansive multiomic prostate cancer data set and identifying features that enable integration with more limited data arising from clinical trials. You will need to possess strong programming and data analysis skills, with proficiency in 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.

Requirements
  • PhD/DPhil in Mathematics, Statistics, Computer Science, Bioinformatics, Physics, Engineering, or a related discipline
  • 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
What We Offer

This full-time post is available immediately and is fixed-term until 1st June 2027 in the first instance. You will have the opportunity to work in a dynamic and collaborative environment, contributing to cutting-edge research that has the potential to make a significant impact on the lives of patients.

To apply, please 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.

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