General role description

Senior Data Scientists apply advanced analytical techniques to help solve problems and improve decision-making in healthcare, research, and medical innovation. They build predictive models, analyse large and complex datasets, and communicate insights that support clinical, research, or business goals. These roles often involve leading data projects from start to finish, mentoring junior staff, and working with other teams to ensure their models and analyses are well-designed, reliable, and help answer important clinical or research questions.

Key tasks and responsibilities

• Build and test advanced models (e.g. machine learning or statistical models) to help solve healthcare or research problems
• Analyse large and complex datasets to find patterns or insights that support decision-making
• Plan and manage data tasks across a project, from identifying what’s needed to checking that the results work as expected
• Share findings with others using clear visualisations, summaries, or presentations
• Provide guidance to junior team members and contribute to improving how data work is done