Associate Director, Real World Evidence

Role Summary

Associate Director, Real World Evidence in the Oncology R&D team. You will leverage Real World Data to generate actionable insights for clinical development, transforming real-world data with statistical and epidemiological methods and innovative visualizations. You will ideate new methods to apply RWE to clinical development challenges and support regulatory interactions using RWD.

Responsibilities

• Leverage Real World Data to generate actionable insights for clinical development in Oncology R&D.
• Transform real-world clinical data using statistical and epidemiological methods, alongside innovative data visualizations.
• Ideate new methods and applications of Real World Evidence to tackle clinical development challenges.
• Support regulatory interactions using Real World Data.

Qualifications

• Required: Master’s degree + 5+ years of relevant experience or PhD with 6 months of relevant experience.
• Required: Experience in supporting a multidisciplinary team to define a research objective that can be addressed with RWD.
• Required: Experience in the use and application of RWD to support clinical decision making.
• Required: Health analytics and data mining of routinely collected healthcare data.
• Required: Use of statistical and scripting languages such as R, Python and SQL.
• Required: Clinical trials and recruitment, especially the application of synthetic control arms.
• Required: The application of genomics in clinical care or translational medicine.
• Required: Health economics or epidemiology, and quantitative science such as health outcome modelling.
• Preferred: Data science, machine learning and construction of predictive models.
• Preferred: Clinical data standards, medical terminologies and healthcare ontologies.
• Preferred: Work in a patient care or similar setting, that would allow the candidate to bring medical perspective into real-world evidence generation.
• Preferred: Experience designing and implementing pragmatic clinical trials.
• Preferred: Knowledge of Oncology and Pharmaceutical development.

Skills

• Real World Data (RWD) analysis
• Statistical modelling and quantitative analysis
• Data visualization and communication of insights