Safety Surveillance Analytics Specialist

Category: Data & AI

Location:Søborg, Capital Region of Denmark, DK

• Innovate and implement analysis strategies for post marketing, clinical trial, digital health and device surveillance. Ensuring our team remains an industry leader in signal detection.

• Contribute to the development of our analytical tools through providing requirements and writing test cases to ensure that our tools function as according to the analysis strategies.

• Collaborate with stakeholders to develop and deliver comprehensive training material for clinical trial and PM surveillance.

• Train in the core PV areas related to signal detection and the tools of Safety Surveillance.

• Provide expert guidance for the analysis strategies for complex signals and health authority requests.

• Collaborate with safety data scientists to develop machine learning models for signal detection, signal validation and risk management.

• Master’s or an equivalent degree in Life Sciences discipline, e.g. Pharmacy, Human biology, MD etc. A Ph D and relevant post-doctoral experience would be an advantage.

• Ideally 5+ years of proven experience in quantitative and qualitative signal detection of clinical trial and post marketing data.

• Evidence of strong analytical skills evidenced by experience of performing aggregate analysis.

• Proven track record in training in aggregate signal detection methodologies.

• Experience with digital health, longitudinal data and advanced signal detection methodologies (machine learning models, advanced statistical methods) would be of benefit.

• Previous experience of implementing signal detection methodologies and tools is also desirable.