Medical Advisor for Reimbursement

Descrizione del lavoro:

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

You will lead the generation of high-quality Access Evidence & Outcomes Research and leverage clinical evidence to demonstrate value to payers, policymakers, and key stakeholders and bridge scientific evidence with commercial strategy to ensure patient access and revenue.

The position is located in Estonia.

The Opportunity
* Own and lead the application process, timeline management, and stakeholder engagement (e.g. Medical Team, Primary point of Care Team) to ensure successful market access
* Take ownership of the local Access Evidence package and play a key role in shaping Health Technology Assessment (HTA) and reimbursement decisions through clear and high-quality evidence
* Analyse and map how different stakeholders use evidence when making access and reimbursement decisions
* Execute Advanced Analysis: Conduct and interpret complex analyses (Meta-analyses, NMA, ITC) and critically appraise clinical trials to demonstrate product value
* Bridge Data Gaps: Adapt global reference studies to the Estonian context, specifically addressing comparator mismatches and aligning efficiency data with local HTA methodology
* Deliver high-quality research by leading outcomes research projects and value dossier development, ensuring high quality and compliance with Standard Operating Principles (SOPs)
* Localize Scientific Value: Translate complex clinical concepts and terminology into clear, persuasive arguments for Estonian HTA bodies and payers
* Collaborate Globally: Partner with Global Access Evidence teams and other affiliates to leverage Real-World Data (RWD) and share best practices
* Lead projects by implementing project management skills to ensure project delivery to expected standards

Who You Are
* University degree (Scientific, Pharmacy, Economic, Health Policy)
* High Quality demonstrable writing skills including ability to interpret medical terminology and translate complex clinical concepts into clear and accurate Estonian language
* Demonstrated experience with providing clinical trial data analysis and drawing recommendations
* English language fluent, local language is a "must-have"
* Proven evidence analyzing and synthesizing skills including advanced skills in meta-analysis, network meta-analysis, indirect comparison methods and cross-validation of evidence from multiple data sources
* Demonstrate the understanding of how evidence is used in decision-making, including how it impacts various customers (e.g., providers, patients, and payers)
* Knowledge and understanding of Real World Evidence Generation and economic evaluation concepts
* System thinking, act from the whole system perspectives and long-term view
* Enabler mindset leveraging the internal and external networks to create value
* Proven project management skills by leading complex projects in the past
* Be open to work in agile and fast-paced environment where change is constant

Please submit your CV in English.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let's build a healthier future, together.

Roche is an Equal Opportunity Employer