The Edinburgh Cancer Research Centre is seeking a Research Manager with skills in academic project management, research governance, data analytics and communications, to work within the Edinburgh Cancer Informatics Program.
We seek a dynamic individual with an academic background and an enthusiasm for new technology, opportunities in data science. Familiarity with Health Research and an interest in Health Policy is highly desirable. Experience in the charitable sector, government or industry would also be valued, as would an ability to work with the media, write for the web and promote academic networking.
The Edinburgh Cancer Information Programme is a collaboration between the NHS and University, that is liberating the use of clinical and genomic data for clinical and scientific research into cancer prevention, treatment and better outcomes for patients. Our team brings together data scientists with clinical researchers and industry to improve cancer care. The development and application of new methods in analytics such as artificial intelligence and big-data processing is central to our mission. The successful applicant will be expected to work closely with other academic groups within the IGMM and the Usher Institute as part of the University’s strategic prioritisation of data-driven research.
Initial projects will include work with The Health Foundation and the Edinburgh Palliative and Supportive Care Research Group on a project that is using qualitative and quantitative approaches to understand the clinical pathway and unmet needs of patients with poor prognosis cancer. There will be work on reporting the changing patterns of care related to Cancer Services’ COVID-19 response and recovery. There will be a theme looking at the use of data to measure the impact of new cancer medicines on patients.
Whilst the main purpose of this position is to work within the Cancer Informatics Team, in a management and leadership role, to manage a portfolio of applied research projects, develop the programme and disseminate findings; there will also be the opportunity for the candidate with the right skills to work hands-on with data analysis and produce academic papers.
For further information please contact Dr Peter Hall (firstname.lastname@example.org)