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Data Scientist (ML/AI)

iO Associates
City of London
2 days ago
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About the Company

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.

The Role

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.

Key Responsibilities
  • 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.
Skills & Experience Required
  • 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.
Desirable
  • 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.
Benefits
  • 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


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