Manager, AI
5 days ago
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
The Manager, AI & Advanced Analytics for Patient Support Services, will develop hands on algorithms and analytics for the patient solutions and experience. To accomplish this, they will need the capability to design, develop and deploy data and analytics solutions and manage complex projects to inform decision making while working collaboratively with teams across the JNJ IM organization.
Competencies:
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- Hands - on (coding knowledge preferred) experience integrating and analyzing healthcare claims, electronic health records, lab results, specialty pharmacy, SDOH/consumer, and patient hub data for advanced analytics solutions- including for adherence & fulfillment effectiveness, patient journey mappings, and treatment pathways.
- Hands on implementation of AI-driven initiatives within pharmaceutical industry, preferably in the patient support area.
- Hands on expertise in predictive analytics and machine learning techniques (e.g. supervised, unsupervised, deep learning) and their real-world applications
Key Responsibilities:
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- Be the subject matter expert in advanced analytics and AI/ML solutions supporting patient support services
- Lead day-to-day project activity the PECS team (Patient experience & customer solutions), SIA (Strategic Insights & Analytics), brand sales and marketing, Media Excellence, Advanced Analytics, Data Science & Engineering, and IT, among others, to inform decisions about the patient solution roadmap.
- Manage ongoing 'use case centric' evaluation of data sets and methodologies to improve predictive capabilities.
- Develop algorithms to measure impact of solutions & programs through leading and lagging indicators including establishing a measurement framework, and conducting A/B testing
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