Senior Data Scientist - Machine Learning in Healthcare

About the Role

Our client is seeking a highly motivated Senior Data Scientist with expertise in machine learning to join their remote-first research team focused on revolutionizing healthcare . In this role, you will leverage vast healthcare datasets to build predictive models that improve patient outcomes, optimize treatment strategies, and drive operational efficiency. You will work collaboratively with clinicians, researchers, and engineers to translate complex data into actionable insights. This is a unique opportunity to contribute to impactful projects that have a direct bearing on public health, working from anywhere in the UK within a culture that values innovation, collaboration, and continuous learning, supported by a fully remote working environment.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models for prediction, classification, and clustering tasks using healthcare data.
• Clean, process, and analyze large, complex datasets from various sources, ensuring data integrity and accuracy.
• Collaborate with domain experts to understand clinical needs and translate them into data science problems and solutions.
• Communicate findings and insights effectively to technical and non-technical stakeholders through reports and presentations.
• Stay current with the latest advancements in machine learning, AI, and their applications in the healthcare sector.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Data Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on building and deploying machine learning models.
• Proficiency in programming languages such as Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience working with large datasets, including experience with SQL and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, experimental design, and data visualization techniques.

Benefits

• Highly competitive salary and performance-based incentives.
• Fully remote working arrangement, offering exceptional flexibility and work-life balance.
• Comprehensive private healthcare and wellness programs.
• Generous allowance for professional development, including courses and conferences.
• Opportunity to shape the future of healthcare technology and make a significant societal impact.