Senior Data Scientist - Cross-Trial Evidence & HTA
Category:
Clinical Development
Location:
Søborg, Capital Region of Denmark, DK
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Your impact begins here
For people living with serious chronic diseases, an approved medicine is only as good as the access they have to it. In market after market, HTA bodies, reimbursement authorities and payers must be convinced by rigorous, credible evidence before that access becomes real. This is what we drive in Cross-Trial Evidence & HTA, and we are looking for someone to help us do it better.
You will contribute to technical execution and innovation across our obesity, diabetes, and rare disease portfolio, at the intersection where data science and statistics meet evidence synthesis and health technology assessment.
Engaging across multiple assets and the full development lifecycle will give you broad exposure to evidence generation and market access. You will apply advanced analytical methods, contribute to scalable solutions, and support evidence strategies that shape payer and reimbursement decisions.
We are committed to embedding AI-enhanced ways of working into our workflows, and this role will contribute to the development, implementation and validation of approaches that increase efficiency while maintaining scientific rigor and transparency.
What you'll bring
- MSc, preferably PhD, in statistics, health economics, mathematics, computer science, or a related quantitative field
- 3+ years of relevant industry experience with demonstrated impact on evidence generation for drug development or market access
- Experience of direct relevance to HTA statistics and evidence synthesis (indirect treatment comparisons, network meta-analysis, real-world evidence, health economic modelling)
- Strong programming skills in R or Python, including reproducible pipelines, automation tools, and heterogeneous data sources
- Understanding of the evidence-generation process and an interest in how analytical approaches support payer and reimbursement decision-making
- Strong planning and organisational skills, with the ability to manage multiple priorities and deliver high-quality work across concurrent projects
- Interest in AI-enabled analytical approaches and familiarity with how automation and AI tools can support scientific and statistical workflows
What you'll do
- Executing HTA and cross-trial analytics to support evidence generation and market access decisions. From analytics packages for large-scale multi-market submissions across AMNOG, NICE, HAS and EU HTA joint clinical assessments, to direct collaboration with affiliates on high-profile evidence synthesis pieces that shape payer decisions in individual markets.
- Building analytical infrastructure and scalable workflows. Develop and maintain reproducible pipelines, automation tools and data models that improve efficiency, quality, and consistency across evidence-generation activities.
- Partnering across functions and markets. Work with biostatisticians, regulatory data scientists, health economists, and affiliate organisations worldwide, with an enterprise mindset and a focus on building ways of working that scale beyond individual projects.
- Contributing to AI-augmented workflows. Support the development and evaluation of AI-enabled approaches that improve analytical workflows, automation and knowledge management while ensuring compliance with scientific and regulatory requirements.
Who you'll work with
Cross-Trial Evidence & HTA (CTEHTA) is a specialist statistics and data science function of approximately 20 statisticians and data scientists, delivering evidence generation from early clinical development through launch and lifecycle management across the full Novo Nordisk portfolio.
We produce work that is scrutinised by HTA bodies, payers, and the scientific community, which means transparency, auditability and methodological credibility are baseline requirements. When we get it right, the outcome is straightforward: the right medicines reach the right patients at the right time.
We are a small team where everyone's contribution is visible, which means high expectations but also high trust. You will work in a highly collaborative environment where contributions are visible, ideas are encouraged, and there are strong opportunities to develop technical expertise and broaden your impact across the portfolio.
What you can expect here
Every day we seek solutions that defeat serious chronic diseases. To do this, we approach our work with an unconventional spirit, rare determination, and constant curiosity. For over 100 years, this unordinary mindset has seen us build a company unlike any other. One where a collective passion for our purpose, mutual respect, and a willingness to go beyond what we know delivers extraordinary results.
There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.
Salary: For this role, the Annual Base Salary ranges from 651,000 to 956,900 DKK, corresponding to the level of the position.
The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience.
Incentives and Benefits: The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.
Learn more about our Reward Philosophy here.
Start Now
Your impact begins today. If you are ready to contribute to evidence generation and market access across our portfolio, apply for the Senior Data Scientist — Cross-Trial Evidence & HTA role by 8th November
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