We are located in the heart of one of England's largest data-rich acute hospitals, seeking your expertise to uncover and narrate the stories hidden within our data.
We Need You To
1. Engage closely with clinicians and managers to understand and improve patient care and hospital operations.
2. Assist in planning, prioritizing, forecasting, and simulating to enhance outcomes and patient experiences.
3. Identify and diagnose problems, applying your data skills effectively, and demonstrate your techniques' capabilities.
4. Actively contribute to steering hospital improvements through detailed data analysis.
5. Share our code publicly, primarily in R and Python.
NUH is a large acute trust featured in the series '24 Hours in A&E'. Our data team is well-connected with senior decision-makers, and the volume of data continues to grow. We focus on uncovering meaningful signals in noise and making data operationally useful for decision-making.
We are a small, friendly team working on impactful projects across various subjects including inpatient and outpatient care, theatres, diagnostics, elective and emergency work, paediatrics, planning, and capital projects.
You will collaborate with other data scientists and analysts to:
1. Create analysis and information products for decision-makers.
2. Develop models of hospital interactions to simulate and evaluate options efficiently.
3. Support annual planning balancing patient activity, budget, and workforce.
4. Build tools and infrastructure to enhance data processing speed, efficiency, and repeatability.
As a Band 7 Data Scientist, You Will Probably
* Prefer working in R or Python and be familiar with git collaboration.
* Have practical experience with machine learning, statistics, data wrangling, and dashboarding.
* Be capable of communicating technical results to non-technical audiences and making data-supported recommendations.
With over 19,000 staff, NUH is a major employer supporting health and wellbeing in our community, leading in research, education, and innovation.
Join our team at NUH, where we value diversity and welcome new ideas to develop our team and deliver world-class healthcare. We offer extensive personal development opportunities to turn your job into a career.
We especially encourage applications from individuals who identify as Black, Asian, and Minority Ethnic, or Disabled, as we strive for better representation.
See the attached file for the detailed job description. If you've used LLMs (e.g., ChatGPT, Claude) to prepare your application, please disclose this, as undisclosed use will lead to rejection.
This is a hybrid role with in-person interviews at Queens Medical Centre, Nottingham. The application deadline is Friday, 9 May 2025.
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