Coronado Research is a consultancy-led, AI-enabled CRO that supports pharmaceutical, biotech, and med-tech companies in accelerating evidence generation through advanced data science, regulatory expertise, and real-world evidence (RWE) strategy. Our mission is to leverage the full potential of data and technology to enhance trial efficiency, diversity, and safety.  

We are expanding our Data Science and Statistical Programming team to support the RWE and Regulatory Submissions. These roles will be pivotal in implementing real-world data analytics to model and optimise areas. You will need exisiting experience with RWD databases for this role. 

Working alongside Epidemiologists, Biostatisticians, and Regulatory teams, you will assess real-world data (RWD) sources, perform data preparation and analysis, and ensure high-quality, validated outputs to inform sponsor decisions and regulatory submissions. 

Key Responsibilities 

• Review and assess real-world data sources to determine suitability for  analyses and evaluate technical limitations for implementing Intended Use Populations (IUPs). 

• Support development of analysis plans, ensuring statistical methods and datasets align with epidemiologic strategy. 

• Perform data cleaning, transformation, and validation across large-scale EHR, claims, or registry datasets. 

• Execute statistical analyses and independently verify results through double programming (typically in R or SAS). 

• Quality control and documentation of all data pipelines, ensuring compliance with regulatory and internal quality standards. 

• Collaborate cross-functionally with epidemiologists, data scientists, and regulatory leads to integrate findings into Epi Strategy Plans and Reports. 

   

About You 

• Advanced degree or equivalent experience in Statistics, Data Science, Epidemiology, or a related quantitative field. 

• Proven experience with real-world data (EHR, claims, registries, or linked sources) and familiarity with data privacy and governance frameworks. 

• Proficiency in R, Python, or SAS for statistical programming and data manipulation. 

• Strong understanding of target trial emulation, causal inference, and clinical data structures. 

• Excellent problem-solving and QC discipline; experience with double programming workflows preferred. 

• Collaborative, methodical, and able to translate complex datasets into actionable evidence. 

   

Engagement Model 

• Flexible engagement: Full-time, part-time, Consultant  

   

Why Join Coronado 

At Coronado Research, you'll work on the cutting edge of regulatory innovation - helping sponsors use real-world data to enhance diversity and inclusion in clinical trials. You'll join a global network of AI-driven professionals dedicated to building smarter, safer, and more equitable evidence ecosystems.

Contact David Atkin for more information

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