AddressSenior Epidemiologist, Real World Evidence
Category: Data & AI
Location: London, London, GB
Are you looking for an opportunity to work in a highly professional, scientific, and global environment where you can use your solid epidemiological skills working with Real World Data in chronic diseases? Are you ready to join a team of data scientists and epidemiologists using advanced analytics to improve people’s lives?
Then this may be your opportunity to pursue an exciting career in a global organisation! We are expanding our Real-World Science departments to London and are looking for three highly motivated and skilled Epidemiologists to work on different therapy areas within chronic diseases.
The position
You will contribute with your in-depth knowledge of Epidemiology and your analytical skills to a team of epidemiologists and data scientists that, together with stakeholders from across the organisation, create actionable evidence from Real-World data. Our data comes from digital health initiatives through partnerships with medical technology companies, in-licensed databases of electronic medical records or health insurance claims, observational studies, and many other sources.
Your main responsibilities will be to:
- Provide epidemiological evidence and expertise to a broad range of stakeholders across the organisation and externally with academic institutions
- Conduct varied and diverse tasks within pharmacoepidemiology and classical epidemiology, including guidance on and contribution to study designs and analytical methods
- Identify and determine efficient data collection approaches and data sources relevant for the questions being investigated
- Design analyses that will be conducted in collaboration with data scientists based on the data from either clinical trial, Novo Nordisk observational studies or from external commercial data sources
- Perform and guide epidemiological activities and participate in working groups requiring pharmacoepidemiology expertise
- Communicate your results and findings in a clear and convincing way 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.
If you would like to maintain or develop your programming skills as an epidemiologist, you will be given the opportunity to execute insights and studies in R in collaboration with the department’s data scientists.
Qualifications
To succeed in this role you have:
- MD, DVM, or hold a master’s degree in epidemiology, public health, life sciences, biostatistics, or equivalent.
- Prior work experience within pharmacoepidemiology from the pharmaceutical industry or consulting.
- Solid hands-on experience with analytical epidemiological projects and real-world data.
- Experience in project management and cross-functional stakeholder management.
- Fluent communication in English, both orally and in writing
Additional preferred qualifications:
- A PhD degree in a relevant field.
- Experience from working with regulatory authorities.
- Prior experience in chronic diseases such as diabetes, obesity, cardiovascular disease or kidney disease.
- Demonstrated proficiency in programming skills in R.
We expect you to be ambitious and innovative. It is essential that you can 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 interest in co-operating with stakeholders across the globe is a must.
About the department
In Development, we are responsible for managing clinical drug development worldwide from early development phases to product launch and beyond. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations, and business ethics.
The department of Real-World Science is part of Data Science in Development, and has presence in Søborg (Denmark), London (UK), and Lexington, MA (USA). The department focuses on insights and causal relationships from Real World data (RWD) through advanced statistical methods. We analyse many different data sources to generate evidence to support clinical drug development projects and launched products. You will be joining a team of highly professional, engaged, and motivated data scientists and epidemiologists.
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 the hiring managers Suvi Hokkanen at RSXH@novonordisk.com or Gregers Stig Andersen at GSA@novonordisk.com
Deadline
Please apply before 7th April 2024.
Some interviews may be conducted before the deadline.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
