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Senior Specialist, Data Science - Operational Data Strategy - AstraZeneca
Data Scientist
Lead data science initiatives for clinical operations, designing data pipelines, applying machine‑learning models, and delivering visual analytics to support strategic decision‑making across R&D.
About the role
Key Responsibilities
- Design and implement scalable data pipelines to collect, clean, and integrate clinical operations data from multiple sources.
- Develop and deploy machine‑learning models that predict trial performance, resource utilization, and risk factors.
- Create interactive dashboards and visualizations to translate complex data insights into actionable recommendations for operational teams.
- Collaborate with cross‑functional R&D stakeholders to define data standards, validation rules, and governance frameworks.
- Leverage cloud platforms (e.g., AWS) to ensure secure, high‑performance data storage and processing.
Requirements
- Advanced degree (PhD or MSc) in Data Science, Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience applying Python, SQL, and machine‑learning techniques to large, complex datasets, preferably in life‑science or clinical research environments.
- Proficiency with cloud services (AWS) and data‑visualization tools such as Tableau, Power BI, or Plotly.
- Strong understanding of clinical operations data structures, regulatory considerations, and data‑quality best practices.
- Excellent communication skills to convey technical concepts to non‑technical stakeholders and drive data‑centric decision making.
Skills
pythonsqlmachine learningaws