About this role
Are you looking for an opportunity to apply advanced statistical methods to real-world data and influence clinical development across Novo Nordisk's pipeline? Do you want to work in a highly scientific, collaborative, and global environment where your expertise in statistics, causal inference, and real-world data directly shapes clinical strategy and evidence generation? Are you motivated by solving complex analytical challenges, developing innovative methods, and translating large-scale healthcare data into insights that influence key scientific and business decisions?
Then this could be the opportunity for you. The Position As a Real-World Data Science Manager in R&D Real-World Evidence (RWE), Clinical Evidence & Insights (CE&I), you will be a key scientific contributor in a multidisciplinary team of data scientists and epidemiologists. Together with stakeholders across Research & Development, you will generate actionable evidence from real-world data to support clinical development decisions throughout the drug development lifecycle.
We are looking for someone with a strong foundation in statistics who enjoys applying rigorous analytical methods to complex healthcare data. You will develop and implement advanced statistical analyses, contribute to innovative study designs, and help ensure that evidence generated from real-world data is scientifically robust, reproducible, and fit for purpose. You will work closely with epidemiologists, clinicians, medical and translational scientists, and external partners to deliver high-quality evidence that supports clinical strategy and enables efficient development programmes.
The location of the position can be in our offices either at Søborg, Denmark, or King Cross London, UK. There will not be offered relocation support. Your primary responsibilities include: Scientific & analytical responsibilities Apply advanced statistical methods to generate evidence and insights from large, complex real-world healthcare datasets.
Design, implement, and validate analytical approaches for observational studies and other real-world evidence initiatives. Develop analysis-ready datasets by transforming, integrating, and quality-assuring diverse real-world data sources, including electronic health records, registries, claims databases, and partnership data. Apply modern causal inference methods, survival analysis, longitudinal modelling, and other advanced statistical approaches to answer clinically relevant questions.
Contribute to develop innovative analytical approaches supporting real-world-data-powered clinical trial elements, including external controls, data linkage, and target trial emulation. Develop reproducible analytical workflows, maintain high-quality code, and contribute to best practices in statistical programming and data science. Cross-functional collaboration and scientific impact Collaborate closely with epidemiologists, clinicians, medical and translational scientists, and clinical development teams to translate scientific questions into robust analytical solutions.
Contribute statistical expertise to clinical evidence plans supporting clinical development across the portfolio. Manage multiple analytical projects simultaneously while maintaining scientific quality and timely delivery. Communicate complex analytical findings clearly through presentations, scientific reports, publications, and discussions with technical and non-technical stakeholders.
Contribute to continuous improvement of analytical standards, programming practices, and statistical methodologies across the R&D RWE area. Qualifications To succeed in this role, you have: MSc or equivalent in Biostatistics, Statistics, Mathematics, Data Science, Computer Science, Physics, or another quantitative discipline. Extensive experience analysing real-world healthcare data, including registries, electronic health records, claims databases, or observational studies.
Strong expertise in statistical modelling, including regression methods, survival analysis, longitudinal data analysis, and causal inference. Experience applying advanced analytical methods, including machine learning where appropriate, to large healthcare datasets. Excellent programming skills in R or Phyton, with experience writing efficient, maintainable, and reproducible analytical code.
Experience preparing and managing large-scale analysis-ready datasets from complex raw data sources. Experience with SQL, Git, and reproducible analytical workflows. Ability to understand scientific and business questions and translate them into rigorous statistical analyses.
Familiarity with epidemiological thinking, including study designs, bias, counterfactual framework, DAGs. Strong communication skills with the ability to explain complex statistical concepts to multidisciplinary audiences. Fluent English, both written and spoken.
Additional preferred qualifications PhD in a relevant quantitative discipline. Experience working within the pharmaceutical industry, contract research organisations, or consultancy. Experience with modern causal inference methods, including target trial emulation.
Experience developing dashboards (e.g., R Shiny) and data visualisation tools. Experience collaborating with epidemiologists and multidisciplinary clinical development teams. About the Department In Medical & Translational Sciences within Research & Development, R&D RWE are responsible for managing clinical drug development worldwide from early development phases to product launch and beyond.
We help shape clinical programs, provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations, and business ethics. R&D Real‑World Evidence CEI contributes to shaping clinical programs and supporting development decisions with fit‑for‑purpose evidence to accelerate the pipeline. You will join a highly engaged team of epidemiologists and data scientists located across Denmark and the UK.
Salary and Benefits At Novo Nordisk, we are committed to attracting and retaining talented professionals by offering a competitive and rewarding compensation package. For this Level 7 position, the annual base salary in Denmark is typically in the range of DKK 800,000 to DKK 950,000 , depending on qualifications, experience, and location. In addition to base salary, we offer a comprehensive benefits package including pension contributions, health and insurance coverage, wellbeing initiatives, and performance-based incentive opportunities.
We are dedicated to supporting both your professional growth and personal wellbeing throughout your career with Novo Nordisk. 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. 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. Deadline 30. August 2026.
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're not chasing quick fixes – we're creating lasting change for long-term health.
For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose.
Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.