Denmark Job Openings

Novo Nordisk
Lead Epidemiologist
Måløv
October 29, 2024
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.
- 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
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 Ph D 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
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.
Contact
For further information, please contact Suvi Hokkanen, Senior Director of Computational Precision Health, at RSXH@novonordisk.com.
Deadline
10 November 2024.
Applications will be reviewed on an ongoing basis and interviews may be conducted before the deadline, so we encourage you to apply as soon as possible.
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