Website Achieva Group Limited
Real-World Data Adoption Lead
Background:
The position will play a pivotal role in advancing the Diagnostic’s utilization of Real-World Data (RWD), unlocking its potential for data-driven decision-making. The Adoption Lead will be responsible for designing and implementing strategies to maximize the use of RWD across Diagnostic, fostering a culture that embraces and leverages the power of data. There are three RWD Domain’s long-term outcomes where the Adoption Lead will be contributing to:
1) Internal stakeholders have access to FAIR, fit-for-purpose data, when they need it
2) RWD activities and studies are easy and simple to plan, conducted efficiently, compliant, high-quality, and reproducible; and
3) Infrastructure, processes and procedures of RWD are known and incorporated across all product life cycles.
The perfect candidate has several years of experience in the pharmaceutical industry or a related healthcare field,
with a focus on RWD. Furthermore, has in-depth knowledge of real-world data sources, such as electronic health records, claims databases, registries, and patient-reported outcomes. The candidate has worked in a global, matrixed, cross-functional environment and has strong communication skills and proficiency in English.
General Information:
• Start date: asap
• Planned duration: one year with option to extend
• Pay rate CHF 80.00
• Workplace: Basel
• Workload: 100%
• Remote/Home Office: hybrid
• Department: Data Science Technology & Services
Tasks & Responsibilities:
• Lead and drive the organization towards achieving the long-term outcomes in the RWD domain, aligning strategies and initiatives with overarching goals.
• Collaborate closely with teams across the organization to co-create internal RWD policies and compliance processes, ensuring alignment with industry best practices and regulatory requirements when applicable.
• Develop comprehensive RWD training content and contribute to its implementation, empowering employees with the knowledge and skills necessary to effectively utilize and interpret RWD.
• Implement and expand the RWD communication plan, utilizing various channels and platforms to increase awareness and understanding of RWD among internal stakeholders, fostering a culture of data-driven decision-making.
• Identify key stakeholder’s; needs related to RWD and determine appropriate real-world data sources to meet their objectives, ensuring that the organization has access to the necessary data to drive informed decision-making.
• Lead the development and implementation of contracting and protocol processes with collaborators, ensuring adherence to internal requirements and efficient execution of collaborations.
• Cultivate strong relationships with external stakeholders, including data partners, research organizations, and academic institutions, to access fit-for-purpose real-world data sources and stay up-to-date with industry advancements.
• Collaborate with other RWD teams to develop and contribute to the Dia RWD knowledge repository, providing users with efficient and fast access to RWD insights and supporting evidence-based decision-making within the organization.
Must Haves:
• Master’s degree or higher in a relevant field, such as epidemiology, pharmacoepidemiology, biostatistics, health economics or a related discipline.
• Minimum of 4 years of experience in the pharmaceutical industry or a related healthcare field, with a focus on RWD
• In-depth knowledge of real-world data sources, such as electronic health records, claims databases, registries, and patient-reported outcomes.
• Proven track record of driving successful implementation of RWD initiatives and delivering measurable business impact.
• Possess a comprehensive understanding of the RWD environment, including data quality considerations and emerging market trends.
• Demonstrate practical experience in RWD operations, having actively participated as a user or contributor in the acquisition, integration, analysis, or interpretation of RWD.
• Exhibit a strong grasp of data privacy regulations, governance frameworks, and policies related to the use of healthcare data
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and external partners.
• Proven ability to operate effectively in a global, matrixed, cross-functional environment
• Strong communication skills and proficiency in English is a must.