Research Assistant – Statistician – Grade 5 – Salary from £26,715 to £30,942
Research Associate – Statistician – Grade 7 – Salary from £32,816 to £40,322
The Unit is offering an exciting opportunity to join the MRC Biostatistics Unit to carry out research within the Unit’s Precision Medicine theme. This appointment will be made at either Research Associate or Research Assistant, depending on achievements and experience.
The post-holder will focus on applying statistical or machine learning methods for improving scientific understanding and/or prediction for patients at Addenbrookes hospital using Electronic Health Record (EHR) data. Addenbrookes is an internationally-renowned teaching hospital in Cambridge and in 2014 was the first UK hospital to implement Epic’s fully electronic health record eHospital system. This provides a single, integrated EHR, with real-time information recorded at the patient’s bedside, including observations, blood tests, procedures and medications.
The particular focus of this post will be on improving understanding and/or prediction in the cohort of patients with COVID-19, using a large, rich, raw observational clinical informatics dataset extracted from Addenbrookes’ EHR. We have several on-going and emerging collaborations with clinicians, clinical scientists and other health care professionals at Addenbrookes hospital seeking to improve scientific understanding of their patients with COVID-19 and/or prediction of their clinical trajectory. The post holder will continue and further develop these collaborations. Particularly at the Research Associate level, they will have the opportunity to take a central role in shaping and refining research questions; extracting, appraising and cleaning relevant data from the dataset; and identifying and applying appropriate analysis methods for answering our collaborators’ scientific questions. The project forms part of the exciting emerging area of real-time precision medicine, which seeks to provide statistical and machine learning tools to optimise each patient’s care in real-time.
Candidates for Research Associate position will have a PhD in Statistics, Data Science or a relevant similar discipline. A Research Assistant appointment will have an MSc in Statistics, Data Science or similar relevant subject (or close to completion).You will have strong computational skills, particularly with the statistical programming language R. Prior experience of working with complex datasets is highly desirable, particularly biostatistical or clinical datasets. You will also require good communication skills to explain and discuss your work with clinicians and other healthcare professionals, as well as the ability to write scientific papers. Particularly at the Research Associate level, you will have the opportunity to play an active role in the development of the research group, by undertaking and supporting research through introduction of new ideas, publication in leading journals, presentation of research at international workshops/conferences and by training of others. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.
The MRC Biostatistics Unit undertakes research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. It is one of Europe¿s leading biostatistics research institutions and includes many internationally renowned statisticians. 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 provides a privileged environment for conducting research within the Cambridge biomedical environment.
Please contact firstname.lastname@example.org with any informal enquiries.
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.
Fixed-term: The funds for this post are available for 6 months 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: 18th March 2021
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 SL25776 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.
- Further Particulars – Research Assistant
- Further Particulars – Research Associate