The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health.
An opportunity has arisen for a talented and highly motivated biostatistician to join the group led by Dr Jessica Barrett within the precision medicine (PREM) research theme, to work on a project part-funded by the pharmaceutical company Roche, on personalised dynamic prediction of long-term biomarker trajectories and risk profiles, applied to two case studies in neuroscience and oncology, using registry and/or electronic medical records. A primary clinical challenge in both these areas is to accurately assess disease dynamics and to derive personalised prognosis. Dynamic risk prediction achieves this by dynamically updating trajectory and risk predictions in response to new information gained about a patient. This project will involve extending and developing statistical methods for dynamic prediction, e.g. joint modelling or landmarking, motivated by the relevant case studies. The post-holder will also work in close collaboration with Dr Yajing Zhu, the statistical team and also clinical collaborators at Roche.
A PhD in statistics (or equivalent experience) and experience of longitudinal data analysis and survival analysis is essential for this role. Knowledge of joint modelling and/or landmarking for dynamic risk prediction would be desirable. The successful candidate will also demonstrate excellent time management and a creative approach to problem-solving.
For an informal discussion about this post, please contact Dr Jessica Barrett, firstname.lastname@example.org.
The Unit is actively seeking to increase diversity among its staff, including promoting an equitable representation of men and women. The Unit therefore especially encourages applications from women, from minority ethnic groups and from those with non-standard career paths. Appointment will be made on merit.
Fixed-term: The funds for this post are available for 2 years in the first instance.
Applicants must have (or be close to obtaining) a PhD.
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £30,046) moving to Research Associate (Grade 7) upon confirmation of your PhD award.
To apply online for this vacancy and to view further information about the role, please visit:
Closing date for applications is: 12th December 2021.
Interviews will likely be held in early January 2022.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference SL28933 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
|Salary:||£33,309 to £40,927 p.a.|
|Placed On:||10th November 2021|
|Closes:||12th December 2021|
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