Director, Real-World Evidence Data Platform
New
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NovartisPharmaceutical, Healthcare
Remote Position (USA), Remote, USFull-TimeDirector
SalaryUSD 185500 - 344500 / year
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Job Details
- Experience
- 7+ years
- Required Skills
- Data science
Requirements
- Bachelors degree required; Advanced degree in health economics, epidemiology, statistics, public health, health policy, data science, or related field required.
- Doctoral-level training or PharmD with relevant experience preferred.
- 7+ years of experience in the pharmaceutical, biotechnology, healthcare, consulting, or data/analytics sector.
- Experience working with real-world data sources such as claims, electronic health records, registries, specialty pharmacy data, or laboratory data.
- Experience supporting RWE, HEOR, epidemiology, outcomes research, medical affairs, market access, or related evidence-generation activities.
- Experience collaborating with cross-functional teams and external data vendors or platform partners.
- Demonstrated ability to support complex projects, manage multiple priorities, and communicate technical concepts to non-technical stakeholders.
- Strong understanding of real-world data sources and their application to evidence generation.
- Working knowledge of RWE study designs, observational research methods, and data considerations for healthcare research.
- Familiarity with data linkage, longitudinal patient journeys, endpoint development, and fit-for-purpose data assessment.
- Understanding of US healthcare data ecosystems, including payer, provider, and specialty data sources.
- Knowledge of data privacy, compliance, documentation, and governance expectations for RWE use.
Responsibilities
- Support the development and operationalization of scalable real-world data platforms that enable efficient and high-quality RWE generation.
- Partner with RWE leads and medical strategy teams to understand evidence needs and translate them into data platform requirements.
- Support integration and use of relevant RWD sources, including claims, electronic health records, registries, specialty data, and other fit-for-purpose datasets.
- Contribute to the development of linked longitudinal data capabilities to enable robust real-world analyses and endpoints.
- Help evaluate, onboard, and manage external data vendors and platform partners in collaboration with senior team members.
- Support data quality frameworks, validation protocols, documentation standards, and governance processes for RWE platform use.
- Collaborate with analytics, epidemiology, biostatistics, medical, access, and other cross-functional partners to ensure data assets are fit for purpose.
- Contribute to RWE project execution by enabling timely access to appropriate data assets and supporting efficient study activation.
- Identify opportunities to improve data platform usability, scalability, and efficiency for evidence generation.
- Communicate data platform capabilities, limitations, and opportunities clearly to internal stakeholders.
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