Director, Evidence Partnerships & Solutions
Kerr Dental
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Drive identification, implementation and scaling of strategic partnerships (data, academic, medical societies) and technology solutions (infrastructure, software, AI, data networks, federated platforms) to accelerate Real-World and clinical trial evidence aligned with business priorities.
- Execute innovative methodologies (e.g RWD to RCT linkage; implementation science; synthetic data) and digital tools to enhance evidence generation impact and scalability.
- Identify and recommend fit-for-purpose RWD based on hands-on assessment of relevance and reliability to address specific research questions that support product access and adoption.
- Translate evidence generation needs into fit-for-purpose requirements and relevant solutions in collaboration with cross-functional teams.
- Connect internal and external stakeholders to ensure consistent implementation of advanced solutions such as advanced statistical methods and ML/AI algorithms.
- Collaborate with research, academic, industry and startups partners to stay at the forefront of Evidence Generation innovation.
- Promote a culture of innovation to adopt novel scientific methods including pragmatic studies and hybrid trial models and creative ways to use data and technology solutions.
- Develop and communicate data and technology learning content and toolkits to support new evidence capabilities across global teams.
- Ensure partnered research meets regulatory, legal, and ethical standards while maintaining high data quality and integrity.
Requirements
- Experience in pharmaceutical, academic research, or healthcare settings with a focus on evidence generation.
- Experience creating and fostering meaningful external supplier, academic, and non-profit partnerships to enhance evidence generation.
- Proven expertise in designing and executing interventional and non-interventional studies and real-world evidence approaches.
- Knowledge in RWD sources, common data models, Data Quality, FHIR, Tokenization, AI/GenAI, LLMs, ML modelling.
- Strong understanding of drug development with the ability to lead cross-functional evidence initiatives.
- Demonstrated ability to learn new scientific areas, tools, and advanced evidence methodologies.
- Ability to create and implement innovative strategies that enhance evidence capabilities.
- Strong communication skills with the ability to explain complex scientific concepts to diverse stakeholders.
- Strong understanding and experience working across regions with knowledge of global regulatory, data privacy, and healthcare environments.
Benefits
- Relocation Support: Novartis is unable to offer relocation support: please only apply if accessible.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
real-world evidenceinterventional studiesnon-interventional studiesdata qualityFHIRtokenizationAIML modelingadvanced statistical methodssynthetic data
Soft skills
communication skillscollaborationinnovationstrategic thinkingproblem-solvingcross-functional leadershipstakeholder engagementadaptabilitylearning agilitycreativity