Data Scientist

The Christie NHS Foundation Trust; Manchester; On-site; GBP 40,000 - 55,000; Full time

Job summary

A prominent healthcare organization in Manchester is seeking an experienced Data Scientist to join their Clinical Outcomes and Data Unit. The role focuses on improving patient outcomes through data analysis and visualization, working alongside clinicians and analysts. Candidates should possess strong statistical analysis skills and a relevant degree, along with the ability to communicate complex data insights effectively. The organization values diversity and encourages applications from all backgrounds.

Benefits

Professional development opportunities

Comprehensive benefits package

Supportive work environment

Qualifications

• Experience in statistical analysis and data modeling.
• Ability to communicate complex results effectively.
• Attention to detail and high-quality assurance in data processes.

Responsibilities

• Support clinicians and researchers with statistical analysis.
• Extract insights from clinical data for operational improvement.
• Manage queries and represent CODU in meetings.

Skills

Statistical analysis

Data visualization

Communication

Analytical skills

Education

Relevant degree in Data Science, Statistics, or a related field

Tools

Statistical software (e.g., R, Python)

Data management systems

Job description

Overview

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 expected to work with Analysts, Data Scientists, and Statisticians within the team and 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.

Responsibilities

• 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, recommending process and business rule improvements.
• Interpret statistical results and explain them, verbally and in writing, so as to be understood by non-statisticians.
• Advise on the 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, which 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 to others 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 member's work.
• Support the learning of team colleagues and mentor junior team members.
• Create and maintain documentation on analysis undertaken for the creation 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.

Communication and Relationships

1. Communicate professionally with senior clinicians and service managers, using specific clinical terminology as required.
2. Represent the Clinical Outcomes and Data Unit and Digital Services in internal and external meetings, reporting back on progress.
3. Advise, support and lead on reporting at appropriate directorate, divisional and Trust level meetings.
4. Be a point of contact for CODU, managing queries, problems, requests and incidents ensuring they are logged and tracked.
5. Lead, manage and action the resolution of assigned tasks efficiently and professionally.

Knowledge, Training and Experience

1. Adopt research and understanding of complex, multi‑departmental clinical data flows and apply advanced levels of specialty‑specific data knowledge.
2. Expertise in understanding problems and utilising various software to provide data insight tools using appropriate analytical techniques.
3. Exceptional attention to detail, ensuring high quality and efficient new processes are implemented.
4. Work closely with other teams in digital services (software development, data engineering) to understand crossover in work streams.
5. Support performance management and income teams, with an awareness of NHS financial and performance reporting.
6. Aware of changes to working practices for colleagues across the Trust, ensuring products are amended accordingly and meet stakeholder expectations.

Analytical

1. Apply statistical and analytical knowledge to critically appraise and challenge the results of outputs, ensuring only meaningful information is delivered to stakeholders.

Responsibility – Policy and Service

1. Act as an ambassador for CODU by maintaining excellent working relationships with users across the organisation.
2. Lead in the development and maintenance of a culture of service provision and continuous improvement.
3. Implement policies for own work area and propose changes to policies in line with legislation, Trust and NHS policies and guidelines.
4. Ensure services delivered reflect best practice with respect to organisational, NHS and legislative requirements, including ITIL, DPA 1998, Information Standards and security.
5. Participate in Information Governance and security, ensuring appropriate governance and security in own area.
6. Apply change management in own areas, following implemented policies and procedures.
7. Ensure all documentation relating to own area of work is complete and fit for purpose.
8. Participate in Root Cause Analysis (RCA) for allocated incidents and problems, instigating emergency action when required.

Responsibility – Staff/HR/Leadership Training

1. Responsible for line management of own team in line with policies, procedures and guidelines.
2. Provide regular performance reports on progress, status and achievements for own area.
3. Support the development of staff through personal development reviews and associated guidance.

Responsibility – Finance and Physical

1. Responsible for safe use of ICT hardware and software.
2. Monitor maintenance and support contracts, ensuring continuity of service and budget management.
3. Liaise with third‑party suppliers to identify and evaluate potential value‑for‑money contracts.
4. Support business appraisals and business case production when required in partnership with Trust stakeholders.
5. Ensure Trust procurement processes and procedures are followed and participate in the procurement process where relevant.
6. Ensure Trust Standing Financial Instructions (SFIs) and procurement guidelines are followed.

Project Management

1. Advise and participate in the development and implementation of projects, ensuring Informatics provision of integrated solutions and user objectives are achieved.
2. Ensure project tasks are successfully delivered in line with agreed timescales and budgets.
3. Support the activities of project boards and project teams, making presentations as required to all levels of staff.
4. Ensure project management documentation or reports are delivered in line with agreed standards and timescales.

Business Continuity Management

1. Participate in the development, exercising, maintaining and reviewing of business continuity plans.
2. Participate in business impact analysis exercises highlighting critical business processes within own area.
3. Be familiar with the Trust Business Continuity Plan and personal responsibilities within where applicable.

Values

1. Demonstrate the agreed set of values and be accountable for own attitude and behaviour.

Other Duties

• Support the learning of team colleagues and mentor junior team members.
• Create and maintain documentation on analysis undertaken for the creation 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.

Application Information

The closing date for this post may be extended if there are insufficient applicants or brought forward if there is a high volume of applicants. If you have not heard from us within four weeks of the closing date, I regret that on this occasion your application will have been unsuccessful.

Sponsorship Information

We are an approved sponsoring organisation. Applications will be considered from applicants requiring sponsorship alongside all other applications. Please be aware, not all roles are eligible for sponsorship.

Pre‑Employment Checks

• Identity verification
• Disclosure and barring service (DBS)/Criminal record check
• Professional registration and/or qualification check
• Occupational health assessment
• Employment history and reference validation

Equal Opportunity Statement

We want to ensure that everyone who works at the Christie or uses our services is welcomed, valued and treated with dignity and respect. The Christie values diversity and is committed to ensuring equal opportunities for all and fair representation across the organisation at all levels. We particularly welcome applications from Black, Asian and other ethnic minority people and people with disabilities for this post. Appointment will be only on merit. We are committed to creating a balanced and diverse workforce. As such we welcome and encourage applications from people of all backgrounds. Together we will foster inclusion and tackle inequity and health inequalities in cancer care. As a disability confident scheme, we guarantee interview all disabled applicants who meet the minimum criteria for the vacancy. We are fully committed to acting ethically and with transparency in all our business dealings and relationships, and to implementing and enforcing effective systems and controls to ensure modern slavery is not taking place anywhere in our organisation or supply chains.