This is an exciting opportunity to join The Christie's Clinical Outcomes and Data Unit (CODU) as a Data Scientist. The CODU's strategy is to improve patient outcomes through the robust selection, analysis, and visualisation of data. We work closely with colleagues across the trust to support the use of data in clinical and operational decision making. We are experts in data visualisation, creating data analysis tools, and helping colleagues to use these tools in their daily work.
In this role you will be involved in supporting data quality improvement, utilising NLP and machine learning methods to prepare the way for exciting developments aligning to Future Christie aims.
You will be expected to work with the Analysts, Data Scientists and Statisticians within the team, working on projects with stakeholders throughout the Christie, extracting insights from data collected throughout the hospital to be presented back to clinical and operational teams to inform improvements in the hospital.
With your organised, enthusiastic and inquisitive approach you will be able to work to tight deadlines, be a good multitasker and have a mindset for exploring data, responding to the requirements of stakeholders, ensuring the work is completed to agreed timescales and Trust requirements.
Responsibilities
- To support clinicians, researchers and non-clinical staff in performing statistical analysis and producing data models.
- To use data and technical analysis to extract insight from data for clinical and operational purposes, identifying solutions, recommending process and business rule improvements.
- To interpret statistical results and explain them, verbally and in writing, so as to be understood by non-statisticians.
- To advise on the appropriate techniques for data analysis and interpretation, advising analysts when data science and statistical work is feasible.
- To identify and recommend improvements in reporting, software or other systems, which contribute to the performance of the systems or accuracy of data.
- To utilise explorative data science techniques to extract usable insights from data and explain data‑driven recommendations to others through clear visualisations.
- To explore and stay up-to-date with various modelling techniques, advising on those optimal for the purpose.
The Christie is one of Europe's leading cancer centres, treating over 60,000 patients a year. We are based in Manchester and serve a population of 3.2 million across Greater Manchester & Cheshire, but as a national specialist around 15% of patients are referred to us from other parts of the country. We provide radiotherapy through one of the largest radiotherapy departments in the world; chemotherapy on site and through 14 other hospitals; highly specialist surgery for complex and rare cancer; and a wide range of support and diagnostic services. We are also an international leader in research, with world first breakthroughs for over 100 years. We run one of the largest early clinical trial units in Europe with over 300 trials every year. Cancer research in Manchester, most of which is undertaken on the Christie site, has been officially ranked the best in the UK.
