Senior Principal Data Scientist

Johnson & Johnson Raritan , NJ 08869

Posted 1 week 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/

Johnson & Johnson is currently recruiting for a Senior Principal Scientist, Global Commercial Data Science (GCDS) , J&J Innovative Medicine. The location for this position is Raritan, NJ.

The Senior Principal Scientist will design, develop, and lead the execution of impactful data science projects delivering insights and analytics that shape commercial development of our clinical-stage pipeline. Working with the Senior Director, Global Data Science and in close partnership with GCSO partner teams, you will use your deep technical expertise and pharmaceutical industry knowledge to advance the application of leading data science analytical methodologies to domain-specific data assets to drive insights and decisions that optimize the patient benefit and commercial value of the pharmaceutical pipeline.

Major responsibilities include evaluating available and potential data sources, driving data strategy to strengthen our analytics, evaluating and developing end-to-end solutions, leading and implementing specific data science projects by applying creative approaches and innovative algorithms within commercial analytics, and advancing data-driven decision-making and data science practice across GCSO. Key partnerships include the Disease Area Strongholds (DAS), commercial analytics, medical affairs and market access within GCSO as well as regional commercial analytics and scientific affairs teams, J&J Technology (JJT) data sciences, R&D Data Science, JJT, global epidemiology, and others.

Responsibilities:

  • Act as a hands-on technical leader for the Global Data Science team, instituting leading practices, and modeling and enabling a data-driven culture

  • Develop and provide deep subject matter expertise and leadership on Data Science AI/ML methods (including Generative AI), algorithm / model development, and their application to global commercial analytic business questions

  • Effectively navigate technological, analytical, legal, and privacy complexities to achieve objectives

  • Use AI/ML to transform our commercial strategy operations through impactful analytics projects that improve GCSO strategic decisions

  • Interact with and influence asset and disease area teams across Commercial, Medical Affairs, and Market Access on outcomes and insights from specific data science projects

  • Closely partner across Global Data Science and across GCSO to define the priorities and both collaboratively and pragmatically build a roadmap to deliver specific use cases

  • Define data and analytics strategies and methods for specific Data Science projects across GCSO

  • Assess the financial implications and rationale for Data Science investments and help communicate overarching return on investment, business value drivers, success metrics, etc.

  • Partner outside of GCSO with the regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usage

  • Contribute actively to internal J&J Data Science communities of practice, sharing methodologies and improving enterprise Data Science capabilities and maturity

  • Positively impact project teams and set standards of excellence for the team by demonstrating technical expertise, strong work ethic, integrity, and professional behavior

  • Work side-by-side with colleagues across Global Commercial Data Science to deliver integrated approaches to deliver on high value use cases / key business questions.

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