Postdoctoral Data Scientist: Multiomic Cancer Analytics

University of Oxford; Oxford; Hybrid; GBP 39,000 - 46,000; Full time

Job summary

University of Oxford's Old Road Campus is seeking a data scientist or bioinformatician to analyze a multiomic prostate cancer data set and identify features for integration with clinical trial data.

The role is full-time and fixed-term until 31 December 2027, with potential for regular remote working pattern with the line manager. A PhD/DPhil in a relevant field is expected, and publication activity is encouraged.

Qualifications

• PhD/DPhil completed or nearing completion in Mathematics, Statistics, CS, Bioinformatics, Physics, Engineering, or related field.
• Experience applying advanced ML methods to tabular data.
• Familiarity with bioinformatics tools for sequencing data (DNA/RNA).
• Ability to publish and present research results.

Responsibilities

• Analyse expansive multiomic prostate cancer data and identify features for integration with trial data.
• Apply machine learning to curate and compare datasets from diverse sources.
• Communicate results to collaborators and contribute to publications.

Skills

Programming

Data analysis

Machine learning

Independent work

Education

PhD/ DPhil in a relevant field

Tools

Bioinformatics tools

Job description

University of Oxford's Old Road Campus is seeking a data scientist or bioinformatician to analyze a multiomic prostate cancer data set and identify features for integration with clinical trial data.

The role is full-time and fixed-term until 31 December 2027, with potential for regular remote working pattern with the line manager. A PhD/DPhil in a relevant field is expected, and publication activity is encouraged.