Are you looking for a unique opportunity to impact drug discovery with your epidemiological skills? Would you like to work in a highly scientific, professional, and global environment? Are you ready to join a team of research data scientists and epidemiologists using advanced analytics to improve people’s lives?
If so, this may be your opportunity to pursue an exciting career in a global organisation! The department of Computational Precision Health is being established to support decision-making and drug discovery in Research & Early Development. We are looking for a highly motivated, skilled and independent epidemiologist to take the lead on studies and insights using multimodal Real-World Data.
The position
You will contribute with your in-depth knowledge of epidemiology and analytical skills to a team of research data scientists and epidemiologists who, together with stakeholders from across the organisation, create 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.
Your main responsibilities will be to:
- Identify impactful real-world evidence needs by proactively liaising with a broad range of stakeholders across R&ED
- Provide epidemiological evidence and expertise to stakeholders internally and externally
- Conduct varied and diverse tasks within pharmaco- and classical epidemiology, including taking the lead on guiding study designs and analytical methods
- Identify and determine efficient data collection approaches and data sources
- Design analyses that will be conducted in collaboration with data scientists based on the data from 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 your results and findings clearly and convincingly both orally and in reports, and peer-reviewed scientific papers
You will be interacting with many stakeholders – either when communicating epidemiological considerations and results to internal stakeholders or through contact with research organisations, commercial partners and academic institutions involved in analysis of epidemiological data.
Qualifications
To thrive and succeed in this role, we would expect you to have:
- A MD, DVM, or Master’s degree in epidemiology, public health, life sciences, biostatistics, or equivalent. A PhD degree in a relevant field would be advantageous
- Prior significant work experience within pharmacoepidemiology from the pharmaceutical industry or consulting. Experience working on Preclinical projects in the pharmaceutical industry would be advantageous
- Solid hands-on experience with analytical epidemiological projects and real-world data. Prior experience in chronic diseases such as diabetes, obesity, cardiovascular disease or kidney disease would be advantageous
- Strong experience in project management and cross-functional stakeholder management
We expect you to be ambitious and innovative. It is essential that you use your good interpersonal and communication skills to achieve results together with others, both internally and when working with external project teams. You must thrive in a role where you have responsibility, you are proactive and work independently. The job is globally oriented and excellent communication skills together with an interest in cooperating with stakeholders across the globe are important.
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. We analyse many different data sources to generate evidence to support drug discovery, preclinical and early clinical drug development projects.
Working at Novo Nordisk
At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.
