Data Scientist Job Manchester area,England UK,IT/Tech

This is an exciting opportunity to join The Christie’s Clinical Outcomes and Data Unit (CODU) as a Data Scientist, working with the team and colleagues across the Trust to improve patient outcomes through the robust selection, analysis, and visualisation of data to support clinical and operational decision making.

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 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.

When completing your application please ensure you have read the attached job description and clearly evidence how you meet the essential and desirable criteria that are indicated as assessed via the application form. Shortlisting will be based on this evidence and you will also be asked about these should you be shortlisted for interview.

After applications have been reviewed, shortlisted applicants will be assessed through a two-stage interview process.

The first round will be held virtually and involve a technical task and presentation.

The second round will be an in-person interview held at our Withington site, a virtual option will not be offered for the second round.

Main duties of the job

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 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

To ensure selected techniques remain to be fit for purpose through on going monitoring and robust data pipelines

To plan own workload and projects appropriately

To test own work and peer-review team member's work

About us

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% 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.

Job

responsibilities

DUTIES AND 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…


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