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.
This position is to work with Dr Pavel Mozgunov within the within the Efficient Study Design research theme of the MRC Biostatistics Unit (BSU). The post-holder will contribute to the research programme on developing response-adaptive clinical trial designs for early phase clinical trials of Dr Mozgunov's NIHR Advanced Fellowship. The job will primarily involve the development of statistical methodology for response-adaptive early phase clinical trials, namely, Phase I dose-finding trials, under the guidance of the line manager.
The focus of Phase I dose-finding research will be on the use of richer outcomes to guide the dose selection and on more individualised approaches to dose-escalation, so as many as possible patients in the trial can receive their best dose.
The Unit is situated on the Cambridge Biomedical Campus, one of the world's most vibrant centres of biomedical research, which includes the University of Cambridge's Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the world headquarters of Astra Zeneca.
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.
The Biostatistics Unit is committed to supporting hybrid working for all staff, but we do expect that staff will work from the office on a regular basis to help integration and to build our fantastic scientific community. If you'd prefer to work entirely from the office that is great too.
We welcome applications from those wishing to work part-time.
Candidates for Research Associate position will have a PhD in Statistics, or a relevant similar discipline. A Research Assistant appointment will have an MSc in Statistics, or similar relevant subject (or close to completion).
Informal enquires can be addressed to Dr Pavel Mozgunov (email@example.com).
Fixed-term: The funds for this post are available for 9 months for grade 7 or 11 months for grade 5 in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload a covering letter and a 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.
The closing date for applications is: 30th November 2023
The interview date for the role is: To be confirmed
Please quote reference SL39261 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.