At AstraZeneca, the Clinical Data Science team partners directly with clinical, biometrics and science teams across research and development to apply machine learning, large language models, predictive modelling and advanced visualisations to accelerate development end to end. The Head of Data Science will lead this team and the Therapeutic Area data science strategy.
Requirements
- Proven data science leadership with end to end delivery: data collection and preprocessing, modelling for business and clinical problems, and decision oriented data visualisation.
- Knowledge of data analytic and visualization tools such as R, Python, Spotfire or Tableau.
- Experience working with database systems (eg SQL, NoSQL, graph)
- Experience in data mining, machine learning, large language models and/or operations research; strong fundamentals in statistics and algebra.
- Experience operating in high performance computing or cloud environments.
- Success in a complex, global organisation.
- Demonstrated problem solving aptitude and bias to action.
Responsibilities
- Define and deliver the V&I data science strategy across clinical and operational/business domains, aligning to TA goals and strategy.
- Identify and prioritise new applications of data science in V&I; translate business problems into analytics questions and deliver solutions that inform decisions and predict outcomes.
- Drive adoption of best practices in model development, MLOps, validation, documentation, and data governance; define and implement TA specific training.
- Advise senior stakeholders on innovative analytics, generative AI, and related technologies, clearly communicating insights, uncertainty, and limitations.
- Shape and manage external partnerships and vendors to deliver value at speed and scale.
- Contribute to and lead strategic initiatives across the TA.
- Represent the function: Share AZ’s work at internal forums and external conferences, strengthening our scientific presence.
Other
- PhD or MSc in a relevant discipline (e.g., statistics, computer science, mathematics, engineering, physics) or equivalent experience.
- Significant experience in drawing conclusions from analysis and presenting analysis results in a succinct fashion to senior stakeholders, along with recommended actions
- Proven experience in leading and managing colleagues
- Experience in influencing and controlling budgets
- Excellent written and verbal communication skills
