Research Associate in Biostatistics

University of Cambridge

United Kingdom

The MRC Biostatistics Unit at the University of Cambridge seeks to recruit a talented biostatistician/applied statistical scientist to join an interdisciplinary team of researchers seeking to answer clinical and operational questions related to blood transfusion and to individualise the selection of blood products for transfusion. The post is part of the HAEM-MATCH consortium, a collaboration between the University of Cambridge, University of Oxford, University College London Hospital and NHSBT, the NHS service responsible for the collection and distribution of donated blood in England.

The Blood Transfusion Genomics Consortium (https://www.bgc.io/), an international collaboration between blood services and the University of Cambridge, has recently developed a genotyping array capable of measuring hundreds of blood types (beyond the well-known ABO) simultaneously and cheaply. The ability to measure these blood types in very large numbers of donors will have major implications for the practice of blood transfusion. Blood services need to understand how donated blood can best be matched to patients in the context of extended blood typing, to optimise the expected health outcomes in the pool of recipients. This will require statistical modelling of the demand from hospitals for blood of various types, of the distribution of blood types in the donor pool and of the health consequences of mismatching blood types in different patients. Many patients requiring frequent transfusion develop antibodies against multiple blood types and it can become difficult to identify suitable blood. One aim of this project is to minimise the risk that patients become untransfusable.

The post-holder will report to Dr. William Astle, an NHSBT supported programme leader in the MRC Biostatistics Unit. He or she will collaborate with postdoctoral scientists, research support staff and students across the Unit and with NHSBT affiliated researchers and clinical scientists at universities in the UK. Applicants should hold, or expect soon to be awarded, a PhD in biostatistics or closely related field, have a good knowledge of a range of modern statistical techniques. Experience applying methods to answer questions in genetics, biology or medicine, a good working knowledge of statistical software and strong computer programming skills will be advantages.

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.

We welcome applications from those wishing to work part-time.

Informal enquires can be made by email to William Astle at wja24@cam.ac.uk.

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 £30,497) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Fixed-term: The funds for this post are available for 3 years 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.

Closing date for applications is: 6th February 2022

Interviews are likely to take place mid-late February 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 SL29637 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.


In your application, please refer to Professorpositions.com

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