Research Associate in Biostatistics (Fixed Term)
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
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 email@example.com.
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
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.
MRC Biostatistics Unit
5 January 2022
6 February 2022