Senior Real World Data Scientist

Description

The role sits in the Real-World and Clinical Data Strategy team, which builds data strategies that turn clinical, operational and real-world data into evidence for faster decisions and drug development across Product Development.

The team applies FAIR principles, strengthens data governance and prepares data products so that data is findable, usable and ready for regulatory review and AI-driven work.

The company is a healthcare business with more than 100,000 employees worldwide, and its medicines have reached more than 26 million people. Its Diagnostics products have run over 30 billion tests.

The team works closely with internal functions and external partners on a data ecosystem that supports personalised care and efficient drug development.

Responsibilities

• Generate insights from real-world data to guide clinical development, regulatory strategy and healthcare decisions.
• Design and run observational studies and help shape data strategy.
• Apply deep knowledge of real-world data and observational research to study design, analysis and evidence generation in several disease areas.
• Solve complex data science problems with suitable analytical tools and real-world data assets, supporting development, regulatory, payer and other strategic work.
• Act as a functional expert and lead medium-sized projects or data science activities in clinical development.
• Work towards independently leading sub-workstreams or large cross-functional projects that bring real-world data into clinical development and decisions.
• Work with cross-functional colleagues to define real-world data needs, build data pipelines and keep execution and documentation scientifically sound.
• Build skills in new data types, statistical methods, programming languages and analytical approaches, including advanced analytics, special trial designs and data handling methods.
• Share knowledge, help standardise tools and improve real-world data methods and delivery.
• Keep widening your knowledge, capabilities and skills.

Requirements

• Hold a Master's or PhD in epidemiology, biostatistics, data science or a related field.
• Have at least 5 years of experience with real-world data analyses or epidemiological studies in healthcare or pharma, or an advanced degree plus 3 years of equivalent work experience.
• Be familiar with real-world data platforms, regulatory frameworks and standard data models.
• Think independently and make sound, principled decisions.
• Show strong strategic judgement, problem-solving and critical thinking, including skills beyond the technical domain.
• Respect cultural differences when working with colleagues in a global setting.
• Communicate well verbally and in writing, especially when presenting and writing, and explain complex technical ideas in plain language.
• Optional: practical experience with EMR, claims, registry or digital health data.
• Optional: experience contributing to submissions or publications that use real-world data.
• Optional: experience in cardiovascular, renal or metabolic disease is a plus.
• Optional: exposure to pharmacoepidemiology or health economics and outcomes research (HEOR).

Conditions

The role is based in Welwyn, UK.

Relocation assistance is not available.

Pay transparency details are given for the primary location, Welwyn. Compensation details for other possible locations will be shared later in the hiring process.

Equal opportunity applies to all candidates.