BACKGROUND

RESPONSIBILITIES

• Robust analysis of data with minimal supervision leading to testable hypotheses for target candidates, biomarkers, disease mechanisms or mechanisms of drug action.
• Awareness of the current biology/bioinformatics literature and large public datasets.
• Utilising detailed technical knowledge to design routes and solve problems within the project environment.

PREFERENCES

• The ideal candidate is likely to have a PhD in machine learning or a closely related field, experience of working in bioinformatics and a strong record of creativity. You will possess excellent technical skills and have a strong mathematics/statistics/machine learning background.
• Experience of the application of methods such as multivariate and Bayesian analysis and machine learning methods to solve real world problems, preferably in a biomedical context, is required.
• Good interpersonal and communication skills are essential as you will be working closely with our scientists in support of our research projects.

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE