Data Science Specialist - Cross-Trial Evidence & HTA

Cross-Trial Evidence & HTA Operations 

Søborg or Aalborg (DK), Onsite, or United Kingdom or Spain, Virtual

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. 

Your new role 

You will drive 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 a unique scope: you will identify patterns others miss, build infrastructure that scales portfolio-wide, and see how your analytical solutions directly shape evidence strategies and market access outcomes. 

We are committed to embedding AI-augmentation deeply into our workflows, and this role sits at the heart of that effort: designing, implementing, and validating approaches that preserve scientific rigor while fundamentally changing what a team of our size can deliver. 

Your key responsibilities include: 

• Driving HTA and cross-trial analytics at launch speed. 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 reproducible pipelines, automation tools and data models that enable the team to handle portfolio growth while maintaining quality. 

• 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. 

• Pioneering AI-augmented workflows. Design and implement processes where agents handle throughput and statisticians focus on what requires genuine scientific judgment, reimagining the HTA data scientist role from the ground up with a sharp eye for where AI creates real value. 

Your new department 

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 have direct visibility into leadership decisions, your technical judgment will shape project direction, and the gap between having an idea and implementing it is short. 

Your skills and qualifications 

• MSc, preferably PhD, in statistics, health economics, mathematics, computer science, or a related quantitative field 

• Several years of relevant industry experience with demonstrated impact on evidence generation for drug development or market access 

• Strong 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 

• Familiarity with the evidence-to-access pathway, including how analytical choices affect reimbursement outcomes across major HTA frameworks 

• Strong project management skills, with the ability to manage multiple complex workstreams in parallel and bring the same rigour to project execution as to analytical work 

• A concrete perspective on AI in regulated environments, grounded in practical engagement with how AI tools and automated workflows apply to statistical or scientific work 

Working 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. The video below features colleagues worldwide speaking about why they’re proud to work at Novo Nordisk and highlights the culture, collaboration and long-term impact. Together, for the long-term!     

What we offer 

At Novo Nordisk, you’ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage. 

Salary:  For this role, the Annual Base Salary ranges from 742,600.00 to 1,091,600.00 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. 

Deadline  

Apply before 26 May 2026. 

Please include a few sentences about why you are applying for this position in your resume or CV. You do not need to attach a cover letter to your application.  To ensure an efficient and fair recruitment process, please refrain from adding a photo to your CV. 

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.