Data Scientist (ML/AI)

iO Associates are delighted to be working with a pioneering Diagnostics company at the forefront of HealthTech innovation. The organisation is dedicated to transforming patient outcomes through advanced data-driven diagnostics and AI-powered healthcare solutions.

You'll be joining a multidisciplinary team of scientists, engineers, and clinicians focused on developing cutting-edge technologies that leverage Machine Learning and Artificial Intelligence to accelerate disease detection, improve diagnostic accuracy, and enable personalised medicine.

As a Data Scientist (ML/AI), you will play a key role in designing, developing, and deploying advanced data models that directly impact patient care and clinical outcomes. You'll work across the full data science lifecycle-from data exploration and feature engineering through to model training, evaluation, and implementation in production systems.

This is a hands-on role where you'll collaborate closely with data engineers, bioinformaticians, and clinical experts to turn complex biomedical data into actionable insights.

• Develop, train, and validate machine learning and AI models for diagnostic and predictive applications.
• Analyse large, multi-modal healthcare datasets (e.g. genomic, imaging, and clinical data).
• Conduct exploratory data analysis and feature engineering to extract key biological and clinical signals.
• Collaborate with engineers to integrate models into cloud-based diagnostic platforms.
• Evaluate and optimise model performance, ensuring compliance with medical data governance and regulatory standards (GDPR, ISO 13485, MHRA).
• Contribute to research publications and present findings at internal and external scientific forums.
• Stay up-to-date with advancements in ML/AI, particularly within biomedical and diagnostic applications.

• MSc or PhD in Data Science, Machine Learning, Computer Science, Bioinformatics, or a related field.
• Proven experience developing ML/AI models using Python, TensorFlow, PyTorch, scikit-learn, or similar frameworks.
• Strong background in statistics, predictive modelling, and data visualisation.
• Experience with healthcare, diagnostics, or biomedical datasets (structured or unstructured).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps pipelines.
• Solid understanding of data privacy and regulatory considerations in the health sector.
• Excellent communication skills and a collaborative mindset-comfortable working in cross-functional, scientific teams.

• Experience with medical imaging (e.g. MRI, CT, histopathology) or omics data (genomic, proteomic, metabolomic).
• Knowledge of NLP or generative AI applications in healthcare.
• Familiarity with DevOps / CI/CD for ML models.
• Previous experience in a regulated medical device or diagnostic environment.

• Competitive salary and bonus
• Flexible hybrid working model (London HQ)
• Private healthcare and wellbeing support
• Generous learning & development budget
• Opportunity to contribute to life-changing healthcare innovations