
Coronado Research helps biotech and pharmaceutical teams move faster from discovery to market. It delivers consultancy-led services across regulatory strategy, advanced analytics, market access, and health economics, powered by AI, ML, and data-driven insights for end-to-end clinical development. The company operates as a professional services firm serving biopharma and medical device customers. Its capabilities include AI, ML, data analytics, and cross-disciplinary teams to join the dots between disciplines. Coronado Research aims to scale across life sciences markets with evidence-based decision support.

Coronado Research helps biotech and pharmaceutical teams move faster from discovery to market. It delivers consultancy-led services across regulatory strategy, advanced analytics, market access, and health economics, powered by AI, ML, and data-driven insights for end-to-end clinical development. The company operates as a professional services firm serving biopharma and medical device customers. Its capabilities include AI, ML, data analytics, and cross-disciplinary teams to join the dots between disciplines. Coronado Research aims to scale across life sciences markets with evidence-based decision support.
We are looking for Senior SAS Programmers who can also program in R with a background in working across clinical trials, ideally with experience in oncology.
The successful candidate will be proactive and conscientious in their work, with a customer focused mindset and a highly collaborative attitude, able to work closely with cross-functional teams to ensure effective data collection, manipulation, oversight and analytics-driven decision-making.
This is remote UK and you will need the right to work.
Key Responsibilities:
Data preparation: Prepare and organise data by identifying sources, defining structure, and performing mapping and integration activities to support analysis.
Anomaly detection: Identify anomalies within clinical trial data using advanced analytical techniques, be able to recognise the importance of those anomalies and explain those anomalies to a non-technical audience.
Quality Control: Conduct quality control activities to ensure the integrity of outputs and support the development journey of others through effective communication and analysis of quality control findings.
Requirements Analysis: Interpret requests and requirements from stakeholders into technical solutions that deliver high quality results.
Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations.
Regulatory Compliance: Ensure adherence to CDISC, Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).
Skills and Experience Required:
This is an exciting opportunity for a data-driven professional to make a meaningful impact on clinical research and patient outcomes. If you have a passion for data analytics and clinical research, we encourage you to apply
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