MRC is one of the leading vital research institutions in Europe. Our focus is on providing new analytical and accounting strategies based on sound statistical principles for the difficult tasks facing biological medicine and general health.

This position is to work with Dr. Paville Mozjunov on the subject of effective research for study design (ESD) for the Biomedical Statistics Unit (BSU).

The pregnant woman in the research program in (1) will contribute to developing effective designs for the clinical clinical experience of clinical experiments of early stage experiences, (2) developing a framework for comprehensive evaluation of experiment designs on the basis of simulation. The pregnant woman will also have an opportunity to contribute to supporting planning for innovative clinical experiences.

Main responsibilities:

The job will primarily include developing the statistical methodology of clinical trials for early dose experiments.

It will include specific duties:

• To develop new statistical methods to design clinical trials for adaptive dose experiments.
• To extract the analytical results of the advanced methodology and frameworks for its comprehensive evaluation.
• Development of R-Packages and R glossy applications for designs to avoid dose.
• To present scientific work in internal and external conferences and seminars.
• To write scientific papers and contribute to the general preparation for research for publication.

The date of the publication of the post is March 1, 2026 Or as soon as possible after that.

Unofficial inquiries can be addressed to Dr. Pavel Mozagonov (Pavel.mozgunov@mrc-bsu.cam.ac.uk).

The unit is located on the Cambridge Biomedical Campus campus, one of the most vital medical research centers in the world, which includes a clinical school at the University of Cambridge, two main hospitals, the MRC laboratory for molecular biology, and the world headquarters of Astra Zeneca.

Unity actively seeks to increase diversity among its employees, including promoting fair representation of men and women. Consequently, the unit especially encourages applications from women, from the few ethnic groups and those who have non -standard functional paths. The merit will be appointed.

The Biological Statistics Unit is obligated to support hybrid work for all employees, but we expect that employees from the office will work regularly to help integrate and build our wonderful scientific community. Work entirely from the office is possible.

To advance online for this vacancies and view more information about the role, please click on the “application” above.

We welcome the requests of those who want to work part -time.

The date of closing the requests is October 12

Please quote the reference SL47331 On your request and in any correspondence on this vacancies.

The university supports the activity of equality, diversity and inclusion and encourages requests from all sections of society.

The university is responsible for ensuring that all employees are qualified to live and work in the United Kingdom.