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Medical Affairs Data Expert
Ver: 140
Día de actualización: 26-11-2025
Ubicación: Elsene Brussels Capital
Categoría: Salud / Atención Médica
Industria: Pharmaceutical Manufacturing
Posición: Entry level
Tipo de empleo: Full-time
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Contenido de trabajo
Pfizer is the world’s premier biopharmaceutical company taking new approaches to better health. We discover, develop, manufacture and deliver quality, safe and effective prescription medicines to treat and help prevent disease for people. We also partner with healthcare providers, governments and local communities around the world to expand access to our medicines and to provide better quality health care and health system support. At Pfizer, colleagues in more than 90 countries work every day to help people stay happier and healthier longer and to reduce the human and economic burden of disease worldwide.How We Impact PatientsThe Medical Affairs Data Expert (MADE) plays an essential role and is primarily responsible for leading and advancing the generation of real-world evidence with as single purpose to improve and accelerate the impact of our medicines and vaccines on patients and society. How You Will ContributeThe Medical Affairs Data Expert (MADE) plays an essential role and is primarily responsible for leading and advancing the generation of real-world evidence.The MADE supports and works in close cross-functional collaboration with Regulatory, H&V, safety, and other medical affairs teams.The MADE works with global digital, as well as local H&V and the Category medical affairs teams to understand evidence needs and enabling them to develop and execute their medical RWD (Real World Data) strategies. Together with the H&V RWE expert focusing on the data needs for reimbursement dossiers MADE will enhance the existing RWE Centre of Excellence within Pfizer Belgium.The key responsibilities in this role include:- Leads the medical collaboration with HEOR/RWD roles and supports planning, set-up and execution of local medical RWE projects within or across Categories in alignment with product (throughout lifecycle) and pipeline strategies.
- Plays a key role in the X-Category early lifecycle strategic prioritization, planning and execution with the early lifecycle team, Category MA and other internal stakeholders with a focus on data gap analysis
- Facilitates identification and supports partnerships with appropriate external databases (local and other including GDL) to address prioritized clinical data gaps and the needs of HCPs, HTA and patients, in close collaboration with H&V, Digital, Category medical and insights from strategic healthcare partner (SHP)
- To inform about Analytics and Medical RWE studies, generates credible and high-quality, protocol-driven Medical RWE, supports relevant publications in collaboration with Global Digital, local H&V, MA and (* Worldwide Medical & Safety, ** Business process outsourcing)
- Develops tactical plans for the assigned categories, co-author NIS protocols, applies high quality analytical methods and innovative designs (including novel patient focused digital outcome measures, and other RWD solutions into registries and NIS).
- Identifies opportunities for in-house solutions through interactive data visualizations, and co-develop meaningful RWE based content with a collaborative team
- Contributes to development of department level standards, tools and templates and leveraging ‘best practices’.
- MD, Master or PhD in Life Sciences with background in epidemiology/biostatistics and experience in working with healthcare data, registries and outcome research
- Commitment to work in the best interest of patients within the required compliance and regulatory framework
- Project management experience with examples of delivering high quality work
- Critical and creative thinker with ability to analyze complex data/datasets, create and execute value-based data generation strategies and plans (including novel data-generating technologies: trackers, wearables, app-based collection)
- Knowledge of national data sources and policies regarding secondary use of health data.
- Ability to translate analyzed data results to clinical practice and outcomes
- Fluent in English, with strong presentation skills and ability to deliver scientific and strategic messages and communicate epidemiological data.
- Pharmaceutical industry experience
- Good knowledge of drug development and clinical trials, especially NIS
- understanding of methodologies for robust data generation, with knowledge/experience of RWE methodologies and observational study planning/execution.
- Good knowledge of the national healthcare system, including reimbursement/funding system.
- Knowledge of health economics and the impact on medical decision making
- This role requires strong technical expertise, analytic ability, creativity, and impactful communication skills.
- Growth mindset, solution driven and quality orientated
- Ability to work independently with high accountability
- Strong business acumen and ability to build strategic partnerships with cross-functional teams
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Plazo: 10-01-2026
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