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Job Summary
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.
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 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.
Main duties of the job
* Support clinicians, researchers and non‑clinical staff in performing statistical analysis and producing data models.
* Use data and technical analysis to extract insight from data for clinical and operational purposes, identifying solutions and recommending process and business rule improvements.
* Interpret statistical results and explain them verbally and in writing so that non‑statisticians can understand.
* Advise on appropriate techniques for data analysis and interpretation, advising analysts when data science and statistical work is feasible.
* Identify and recommend improvements in reporting, software or other systems that contribute to the performance of the systems or accuracy of data.
* Utilise explorative data science techniques to extract usable insights from data and explain data‑driven recommendations through clear visualisations.
* Explore and stay up‑to‑date with various modelling techniques, advising on those optimal for the purpose.
* Ensure selected techniques remain fit for purpose through ongoing monitoring and robust data pipelines.
* Plan own workload and projects appropriately.
* Test own work and peer‑review team members' work.
* Support the learning of team colleagues and mentor junior team members.
* Create and maintain documentation on analysis undertaken for the construction of tools and reports for CODU projects.
* Any other duties commensurate with the post and grade that may be requested by the Lead Data Scientist.
Qualifications
* Postgraduate qualification in an analytical, statistics or data science discipline, or demonstrable equivalent experience.
* Experience using programming languages and statistical packages to solve problems using data (e.g., Python, R, Stata).
* Experience developing machine learning tools to extract insights and provide recommendations from data.
* Experience utilising appropriate statistical techniques to extract insights and provide recommendations from data.
* Experience working with analytical professionals, senior managers and a multidisciplinary environment on the publication, development and use of clinical data.
* Experience of the use and management of information within the NHS, academic or pharmaceutical community.
* Extensive experience with Microsoft Word, Excel, PowerPoint and Outlook.
* Experience of successfully managing a number of equally important tasks.
Desirable
* Master's degree in an analytical, statistics or data science discipline or demonstrable equivalent experience.
* Experience as a professional statistician/data scientist.
* Experience of working in a healthcare setting.
* Experience of documenting results for publication.
Essential Skills
* Technical skills in data manipulation, statistics, machine learning, programming and data visualisation.
* Ability to objectively analyse, evaluate and interpret information from various sources.
* Excellent communication skills – verbal, written, presentational and interpersonal.
* Good organisational skills including time management, record keeping and attention to detail.
* Ability to work under pressure, prioritise and manage workload in a busy and changing environment.
* Collaboration, innovation and respectfulness.
Job Details
Location: Clinical Outcomes Unit - E00404, Manchester M20 4BX
Contract: Permanent, Full‑time
Salary: £38,682 to £46,580 per annum, pro rata
Band: 6
Reference number: 413‑99972‑FB‑DA
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