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Data Scientist

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The Christie NHS Foundation Trust

2mo ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
    Research & Development
  • Manchester

AI generated summary

  • You must support data analysis for clinicians, interpret results for non-statisticians, recommend improvements, utilize exploration techniques, monitor data pipelines, and manage your workload.
  • You will perform statistical analysis, extract insights from data, advise on techniques, improve reporting systems, create visualizations, and monitor data quality while planning and reviewing projects.

Requirements

  • 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

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 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

FAQs

What is the main focus of the Data Scientist role at Christie’s Clinical Outcomes and Data Unit (CODU)?

The main focus is to improve patient outcomes through the robust selection, analysis, and visualisation of data to support clinical and operational decision-making.

What types of techniques will I be using in this role?

You will be utilising NLP and machine learning methods, as well as explorative data science techniques to extract insights from data.

Is experience with statistical analysis important for this position?

Yes, the role requires supporting clinicians and researchers in performing statistical analysis and producing data models.

Will I have the opportunity to collaborate with others?

Yes, you will be working with Analysts, Data Scientists, and Statisticians, as well as engaging with stakeholders across the Trust.

What is the interview process like for this position?

The interview process consists of two stages: a virtual first round involving a technical task and presentation, followed by an in-person second round at the Withington site.

Is there a specific educational background required to apply for this role?

While the job description does not specify, a background in data science, statistics, or a related field is typically beneficial for this role.

Who can I contact for more information about the job?

You can contact Lauren Scanlon, the Lead Data Scientist, at l.scanlon@nhs.net for informal inquiries.

Are there opportunities for professional development in this role?

Yes, the position involves exploring and staying up-to-date with various modelling techniques, which supports ongoing professional development in data science.

How will success be measured in this role?

Success will be measured through the ability to extract insights from data, improve data quality, and effectively communicate results and recommendations to clinical and operational teams.

What kind of data will I be working with?

You will be working with data collected from hospital operations aimed at improving clinical and operational outcomes within the Trust.

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The Christie NHS Foundation Trust

The Christie NHS Foundation Trust is one of Europe’s leading cancer centres, treating more than 44,000 patients a year.

Science & Healthcare
Industry
1001-5000
Employees
1932
Founded Year

Mission & Purpose

The Christie NHS Foundation Trust, based in Manchester, specializes in cancer care and provides a range of services including treatment, research, and support for cancer patients. Their mission is to deliver world-class, patient-centered care and to lead in cancer research and innovation. The Trust aims to improve cancer outcomes and quality of life through cutting-edge treatments, comprehensive care, and a commitment to advancing cancer research.