
10,000+ employees
Founded 1996
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $185.5k - $344.5k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1996
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.
• Support the development and operationalization of scalable real-world data platforms for efficient, high-quality RWE generation • Partner with RWE leads and medical strategy teams to translate evidence needs into data platform requirements • Support integration and use of claims, electronic health records, registries, specialty data, and other fit-for-purpose datasets • Contribute to linked longitudinal data capabilities for real-world analyses and endpoints • Help evaluate, onboard, and manage external data vendors and platform partners • Support data quality frameworks, validation protocols, documentation standards, and governance processes • Collaborate with analytics, epidemiology, biostatistics, medical, access, and other cross-functional partners • Enable timely access to data assets and support efficient study activation • Identify opportunities to improve platform usability, scalability, and efficiency • Communicate platform capabilities, limitations, and opportunities to internal stakeholders • Develop materials, summaries, and recommendations for leadership discussions on RWD platform strategy • Maintain awareness of evolving RWD sources, linkage approaches, analytical platforms, and industry trends
• A Bachelor's degree is required • An advanced degree in health economics, epidemiology, statistics, public health, health policy, data science, or a related field is required • 7+ years of experience in pharmaceutical, biotechnology, healthcare, consulting, or data/analytics sectors • Experience with real-world data sources including claims, electronic health records, registries, specialty pharmacy data, laboratory data, or linked datasets • 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 • 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 healthcare research data considerations • Familiarity with data linkage, longitudinal patient journeys, endpoint development, and fit-for-purpose data assessment • Understanding of U.S. healthcare data ecosystems, including payer, provider, and specialty data sources • Ability to partner with analytics and technical teams on data platform development and implementation • Knowledge of data privacy, compliance, documentation, and governance expectations for RWE use • Data quality assessment, documentation, governance, or fit-for-purpose data evaluation experience is strongly preferred • Doctoral-level training or PharmD with relevant RWE, HEOR, epidemiology, or data science experience is preferred • Ability to work remotely anywhere in the U.S.; some restrictions may apply based on legal entity • Willingness to travel 20%
• Performance-based cash incentive • Depending on the level of the role, eligibility to be considered for annual equity awards • Reasonable accommodation for individuals with disabilities
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