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? Location: UK, France, or Germany (Flexible)
Are you a PhD-level statistician with experience in pharma and Health Technology Assessment (HTA)? Looking to apply your expertise to improve patient access on a global scale? This could be your next move.
Join a global statistics team dedicated to driving strategy and innovation in HTA, Patient Access, and Real-World Evidence (RWE). In this role, you’ll provide statistical leadership across evidence generation plans and payer strategies, collaborating with teams across geographies and functions.
? What You’ll Do:
* Lead statistical input for HTA submissions and access strategies
* Apply advanced methods: economic modeling, network meta-analysis, indirect treatment comparisons
* Collaborate with cross-functional teams on global evidence plans
* Support payer submissions, responses, and scientific communication
* Bring innovative statistical methods to life in real-world applications
What We’re Looking For:
* PhD in Statistics (or MSc with significant experience)
* 3+ years in pharma, HTA, health outcomes, or RWE
* Strong programming skills (R, SAS) and statistical methodology knowledge
* Excellent communicator with experience presenting to scientific and payer audiences
* Confident managing projects and working across virtual/global teams
? Why Apply?
* Work on high-impact, global access strategies
* Flexible EU location (UK, France, or Germany)
* Collaborate with top-tier experts across functions
* Be part of shaping real-world patient outcomes
If you're passionate about using data to accelerate patient access and thrive at the intersection of science, policy, and innovation — we want to hear from you.
? Apply now or message us directly to learn more! Send your CV to [emailprotected] receive more details surrounding this role and discuss this further!
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