The Christie NHS Foundation Trust

About the Company

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 people from across our city region and beyond.

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 cancer research, with our experts working on over 650 trials at any one time.

Listed Jobs

Company Name

The Christie NHS Foundation Trust

Job Title

Chief Data Officer

Job Description

Job Title: Chief Data Officer Role Summary: Lead the strategic direction of enterprise-wide data management, governance, and analytics to transform cancer care, enhance personalised medicine, drive operational excellence, and support breakthrough research through AI, predictive modeling, and population health insights. Expactations: Deliver data‑driven transformation at the executive level, influence multidisciplinary teams, champion ethical and equitable data use, build a data‑literate culture, and maintain alignment with national health priorities. Key Responsibilities: - Develop and execute a Trust‑wide data strategy aligned with the NHS Long Term Plan and national initiatives. - Drive innovation in AI, predictive modeling, and population health analytics to support clinical and operational decision‑making. - Oversee data governance, architecture, and quality across all systems, ensuring compliance with regulations. - Enable secure, ethical data sharing with national bodies, academia, and industry partners to reduce health inequalities. - Support research and clinical trials by providing high‑quality, curated data sets. - Cultivate a data‑literate workforce, delivering training and fostering a culture that uses data for improved care. - Collaborate with external stakeholders to unlock real‑world data for cancer research and care. Required Skills: - Proven senior data leadership experience, preferably in healthcare or public sector. - Strategic insight and technical expertise in data platforms, governance, and analytics. - Experience with AI, predictive modeling, and population health analytics. - Strong program management, executive communication, and stakeholder influence skills. - Ability to lead multidisciplinary teams and promote a culture of data governance and ethical data use. - Commitment to equity, sustainability, and advancing patient outcomes through data. Required Education & Certifications: - Bachelor’s or Master’s degree in Data Science, Computer Science, Health Informatics, or related field (Ph.D. preferred). - Certifications such as Certified Data Management Professional (CDMP), Certified Information Privacy Professional (CIPP), or equivalent. - Knowledge of NHS data governance standards and health data regulations.

Manchester, United kingdom

On site

Senior

08-12-2025

Company Name

The Christie NHS Foundation Trust

Job Title

Analytics Specialist with Data Science

Job Description

**Job title** Analytics Specialist – Data Science **Role Summary** Provide analytical, statistical, and data‑science expertise to support the development of the Joint Analytics for Cancer (JAC) data platform and Future Christie digital initiatives. Work closely with data engineering, mapping, cataloguing, and data‑quality teams to deliver insights and analytical outputs that inform decision‑making and platform procurement. **Expectations** - Act as the lead analyst for JAC and Future Christie deliverables. - Translate complex technical data concepts to non‑technical stakeholders. - Maintain high data‑quality standards and generate actionable reports. - Deliver projects on schedule and to agreed specifications. **Key Responsibilities** - Interpret and synthesize information from multiple healthcare systems. - Support data mapping, cataloguing, and quality evaluation with data‑engineering colleagues. - Identify, investigate, and report on data outliers and quality issues. - Design, develop, and present analytical and statistical outputs, including NLP and machine‑learning techniques where appropriate. - Advise on procurement decisions for the JAC data platform. - Manage data and statistical requests: triage, prioritize, delegate. - Prepare and maintain project documentation. **Required Skills** - Advanced analytical and statistical techniques. - Proficiency in data‑science tools (Python, R, SQL, NLP, machine learning). - Strong data‑quality assessment and reporting. - Excellent communication and presentation to diverse audiences. - Ability to work collaboratively across multidisciplinary teams. **Required Education & Certifications** - Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Health Informatics, or related field. - Professional certifications in data‑science or analytics (e.g., SAS Certified Statistical Business Analyst, Microsoft Certified: Azure Data Scientist Associate, or equivalent) are desirable.

Manchester, United kingdom

Hybrid

29-12-2025

Company Name

The Christie NHS Foundation Trust

Job Title

Data Scientist

Job Description

**Job title**: Data Scientist **Role Summary**: Deliver data‑driven insights to enhance clinical and operational decisions within a large healthcare setting. Collaborate with analysts, scientists, and statisticians to improve data quality, apply NLP and machine learning, and present actionable findings to non‑technical stakeholders. **Expactations**: - Deliver high‑quality analytic outputs that support quality improvement initiatives. - Communicate complex statistical results clearly to clinicians and operational leaders. - Maintain and enhance robust data pipelines and reporting systems. - Keep abreast of emerging modeling techniques and recommend appropriate methods. - Manage own workload, meet project deadlines, and peer‑review output. **Key Responsibilities**: - Support data quality improvement efforts, including data cleaning and validation. - Apply NLP and machine learning techniques to healthcare datasets. - Produce statistical analyses, predictive models, and simulation studies. - Create clear visualisations and reports for clinical and operational teams. - Advise on suitable analytical approaches and data‑science feasibility. - Identify and recommend enhancements to reporting tools, software, and processes. - Perform ongoing monitoring of models, ensuring fitness for purpose. - Plan and manage own project tasks. - Test own work, review teammates’ analyses, and provide constructive feedback. **Required Skills**: - Strong analytical background in statistics, data science, or related field. - Proficiency in programming languages (Python, R, SQL). - Experience with machine‑learning libraries, NLP tools, and data‑visualisation frameworks. - Ability to translate technical findings into non‑technical language. - Solid understanding of data‑management principles and pipeline construction. - Excellent written and verbal communication, presentation, and stakeholder‑management skills. - Self‑directed time‑management and collaborative teamwork. **Required Education & Certifications**: - Bachelor’s (minimum) or Master’s degree in Data Science, Statistics, Computer Science, Bioinformatics, or a closely related discipline. - Proven experience in healthcare or clinical data analytics preferred. - Certifications in data‑science or machine‑learning platforms (e.g., Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are an advantage.

Manchester, United kingdom

On site

29-12-2025