Description
Merck Serono, Eysins, CH - Head PRWD Analytics and AI (all genders)
Head of Patient Focused and Real-World Data (PRWD) Analytics and Artificial Intelligence (AI)
We are seeking an innovative and inspiring Team Head of Patient Focused and Real-World Data (PRWD) Analytics and Artificial Intelligence (AI) to lead a team of experts driving excellence in PRWD analytics, solutions and Artificial Intelligence (AI) optimizing delivery of patient-focused real-world insights and evidence (PRWI/E). Reporting to the Global Head of Patient Focused Real-World Evidence (PRWE) as a member of the leadership team, this individual will play a key role in shaping the strategic use of PRWD across therapeutic areas to enhance decision-making and enable value-creating integrated evidence plans.
Key Responsibilities:
• Strategic Vision and Implementation: Develop and execute a forward-thinking strategy to leverage PRWD for faster, more precise insights and evidence generation, aligning with organizational objectives.
• Analytical and AI Leadership: Pilot best analytical practices for generating actionable PRWI (Insights) and PRWE (Evidence) using state-of-the-art methodologies including advanced statistical methods, machine learning and AI. Lead the design, development, and scaling of AI-driven solutions that enhance PRWI/E across the organization.
• Solution Development: Pilot, drive creation and operationalization of innovative tools and platforms that streamline evidence generation while adhering to compliance and quality standards, ensuring scalability and regulatory alignment.
• Process, Training and Capability Building: Drive creation and delivery of cross-functional processes and training to enhance organizational capabilities and adoption of PRWD solutions, fostering innovation, adaptability and decision making.
• Cross-Functional Collaboration: Partner with PRWE, CMS, IT, R&D and broader Healthcare teams to ensure integrated and high-quality PRWD solutions support our programs. Lead efforts to improve data interoperability and integration across diverse RWD sources.
• Team Leadership: Recruit, develop, and manage a high-performing team of experts, fostering a culture of excellence, collaboration, and continuous learning.
• Technology Partnerships: Build partnerships with academic institutions, health data networks, and AI consortia to co-develop innovative methodologies.
• External Engagement: Represent the organization at industry conferences, regulatory workshops, and external collaborations to advance PRWI/E creation.
Qualifications:
• PhD or advanced degree in Epidemiology, Biostatistics, Data Science, Computer Science, Engineering, Life Sciences related fields.
• 10+ years of experience in RWE generation, advanced analytics, AI, technology, digital transformation, or business solutions, ideally in pharmaceutical or healthcare settings.
• Proven leadership in managing teams and fostering cross-functional collaboration.
• Expertise in statistical programming (e.g., R, SAS, Python) and working with diverse PRWD sources, including EHRs, claims data, social media and patient-reported outcomes.
• Proven leadership in innovation and transformation across global, enterprise-level organizations.
• Demonstrated success in delivering AI solutions at scale, preferably through strategic external partnerships.
• Good understanding of regulatory, payer and HTA bodies requirements and industry standards for PRWD and PRWE.
• Excellent strategic, problem-solving, and communication skills with the ability to influence diverse stakeholders.
• Demonstrates a commitment to excellence through collaboration, adaptability, and attention to detail while meeting time-sensitive demands.
• Doctorat ou diplôme supérieur en épidémiologie, biostatistique, science des données, informatique, ingénierie ou dans un domaine lié aux sciences de la vie.
• Plus de 10 ans d'expérience dans la génération de données RWE, l'analyse avancée, l'IA, la technologie, la transformation numérique ou les solutions commerciales, idéalement dans le secteur pharmaceutique ou des soins de santé.
• Leadership avéré dans la gestion d'équipes et la promotion de la collaboration interfonctionnelle.
• Expertise en programmation statistique (par exemple, R, SAS, Python) et en travail avec diverses sources de données réelles sur les produits (PRWD), notamment les dossiers médicaux électroniques, les données de remboursement, les réseaux sociaux et les résultats rapportés par les patients.
• Leadership avéré en matière d'innovation et de transformation au sein d'organisations mondiales de niveau entreprise.
• Succès avéré dans la fourniture de solutions d'IA à grande échelle, de préférence grâce à des partenariats stratégiques externes.
• Bonne compréhension des exigences réglementaires, des organismes payeurs et des organismes d'évaluation des technologies de santé, ainsi que des normes industrielles en matière de données et d'informations issues du monde réel.
• Excellentes compétences en matière de stratégie, de résolution de problèmes et de communication, avec la capacité d'influencer divers acteurs.
• Fait preuve d'un engagement envers l'excellence grâce à sa capacité à collaborer, à s'adapter et à prêter attention aux détails, tout en répondant à des demandes urgentes.
This position offers a unique opportunity to influence the future of evidence generation and contribute to the development of innovative therapies that transform patient outcomes globally and is open to candidates from all EU locations.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now : https://careers.merckgroup.com/fr/fr/apply?jobSeqNo=MQAMKDGLOBAL293779EXTERNALFRFR&step=1&stepname=personalInformation
