Lead analytics/AI products development and management to accelerate business outcomes for Real World Evidence and Data Science within J&J globally.
Apply engineering principles for data mining and visualization on EMR, registry data, and insurance claims.
Review, shape, and measure the business value of solutions while managing competing stakeholder priorities and ambiguity.
Generate real-world insights in scientific and business application areas using novel modelling and visualization solutions, including application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques.
Lead the design and development of building AI ready data on top of hundreds of real-world datasets globally, to leverage cutting-edge GenAI models for complex business questions.
Translate unstructured, complex business problems into the appropriate data problem, model and analytical solutions across multiple projects.
Oversee the research and development of predictive models and computational methods to guide and influence decision-making outcomes.
Act as a Data Science consultant to internal business stakeholders, to streamline data-driven strategies in their business functions.
Provide advanced data science expertise for multiple cross-functional projects, and drive delivery of complex data science solutions that drive business value.
Monitor trends, standard methodology and new developments in analytics and data science to influence functional practices.
Collaborate across the J&J Data and AI community to develop best practices and identify cross functional opportunities that drive value.
Oversee partnerships with multiple third parties, academic and/or outsourced partners to shape and drive project outcomes and knowledge building.
Apply advanced AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.
Qualifications
Required: Master's degree in Information Technology, Data Analytics, Data Science, Bioinformatics or related field and 8 years of experience in the job offered or in an Associate Director, Data Scientist-related occupation.
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Required: Master's degree in Information Technology, Data Analytics, Data Science, Bioinformatics or related field and 8 years of experience in the job offered or in an Associate Director, Data Scientist-related occupation.
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