Epidemiology Lead

Are you a skilled epidemiologist looking for a challenging role in drug discovery? We're seeking an experienced professional to join our team of research data scientists and epidemiologists in a highly scientific and global environment.

About the Position
You will contribute your in-depth knowledge of epidemiology and analytical skills to a team who creates actionable evidence from real-world data. Our data comes from academic-industry partnerships, in-licensed databases of electronic medical records or health insurance claims, observational studies, and many other sources.

Responsibilities

• Proactively liaise with stakeholders to identify impactful real-world evidence needs
• Provide epidemiological evidence and expertise to stakeholders internally and externally
• Conduct varied and diverse tasks within pharmaco- and classical epidemiology
• Identify and determine efficient data collection approaches and data sources
• Design analyses for collaboration with data scientists based on external collaborations, Novo Nordisk observational studies, or external commercial data sources
• Perform and guide epidemiological synopsis or study protocol creation
• Participate in cross-functional working groups as the lead subject matter expert on pharmacoepidemiology topics
• Communicate results and findings clearly and convincingly both orally and in reports

Requirements

• A MD, DVM, or Master's degree in epidemiology, public health, life sciences, biostatistics, or equivalent
• Prior significant work experience within pharmacoepidemiology from the pharmaceutical industry or consulting
• Solid hands-on experience with analytical epidemiological projects and real-world data
• Strong experience in project management and cross-functional stakeholder management

About the Department
The department of Computational Precision Health (CPH) has a presence in Måløv/Hellerup (Denmark) and London (UK). CPH is part of the Artificial Intelligence and Digital Research (AIDR) area, which sits within the wider Digital Science & Innovation (DSI) organisation. DSI is supporting the digital journey across all our therapy areas in Novo Nordisk Research and Early Development. The CPH department focuses on insights and causal relationships from real-world data through advanced statistical and machine learning methods.

Working at Novo Nordisk
We drive innovation and strive for excellence without fixating on perfection. We seize opportunities to develop and move the needle on patient care.

Contact Information
For more information, please contact Suvi Hokkanen, Senior Director of Computational Precision Health.