KTP Associate - AI Occupational Health Automation

About Cordell Health Ltd

Cordell Health is a social enterprise delivering high quality, tailored occupational health and wellbeing services to clients across South of England and Wales. It partners with clients to ensure service delivery combining clinical expertise with the latest technology platforms. Its vision is to inspire and enable organisations support the health of their employees, making staff healthier and workplaces more productive. It seeks to support those with disabilities in work, moving the focus from disability to ability and in doing so "levelling the playing field".

This position offers an excellent opportunity to engage in cutting-edge research while working closely with an industry partner to drive innovation and commercial impact. The role is well-suited to a candidate with strong operational insight with ideally a PhD in Computer Science, Data Science, Artificial Intelligence, Health Informatics or relevant field. The position will lead a complex project requiring analytical thinking, technical capability and confidence to engage a variety of stakeholders.

The successful candidate will demonstrate key competencies in Data Analytics & Machine Learning, Programming Skills, and familiarity with data base design and AI/ML Model Development.

As part of this Knowledge Transfer Partnership, you will benefit from access to expertise and resources from both Anglia Ruskin University and Cordell Health Ltd working at the interface of academia and industry.

This is a rare opportunity to apply your scientific skills in a commercially focused environment, broaden your professional development, and make a tangible impact within a key industry sector.

• Data Analytics & Machine Learning: including model development using Pandas, Num Py, Scikit-learn, or Tensor flow
• Programming
  
  Skills:
  
  Python, experienced in writing clean, modular, and reproducible code.
• Familiarity with data pipeline development, data base design/querying/scripting, and API integration
• AI/ML Model Development: build, train, evaluate, and interpret predictive models,
• Data Management: CSV, SQL databases.
• Awareness/experience in occupational health, public health, or clinical decision support systems
• Exposure to cloud platforms (AWS, Azure, GCP) for data storage or model deployment
• Experience with dashboards/data visualisation tools (Power BI, Tableau, or Plotly Dash)
• Software Engineering Practices: including agile project management.
• AI Ethics/Bias Awareness:
  Data governance and regulatory requirements working with clinical and patient data.

Develop

Skills:

• You’ll work in a cutting edge, industry leading, highly commercial, health-tech sector environment
• You’ll gain access to world-leading academics
• You’ll have the opportunity to gain further qualifications and certifications
• You’ll have your own dedicated training time and a generous training budget. £4,000

Take the Lead

• You’ll be the project lead, managing your own workload and ensuring outputs
• You’ll direct problem-solving activities and your own learning
• You’ll have creative freedom to suggest changes and develop the project plan

Interact

• You’ll have continuous support from your Academic and Business Supervisors
• You’ll work with innovative and ambitious staff, including regular contact with key senior management
• You’ll liaise with current and new Cordell Health Ltd clients and see the real-life impact of your work

ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and research. ARU was recently awarded the Most Transformational KTP Award for 2025 and holds a Gold award for the quality of its education, awarded through the Teaching Excellence Framework (TEF). ARU’s research institutes and four faculties bridge scientific, technical and creative fields. We deliver impactful research which tackles pressing issues and makes a real difference to our communities.

Our academic excellence has been recognised by the UK’s Higher Education funding bodies, with 16 of our research areas…