Lead Data Scientist, Global Commercial Strategy

6 days ago

Raritan, New Jersey, United States Johnson & Johnson Full time
About the Role

We are seeking a highly skilled and experienced Lead Data Scientist to join our Global Commercial Data Science team at Johnson & Johnson. As a key member of our team, you will be responsible for designing, developing, and leading the execution of impactful data science projects that deliver insights and analytics to shape our commercial development of clinical-stage pipeline.

Key Responsibilities
  • Evaluate available and potential data sources to drive data strategy and strengthen our analytics
  • Develop and provide deep subject matter expertise and leadership on Data Science AI/ML methods, 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 priorities and 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 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 Janssen/J&J Data Science communities of practice, sharing methodologies and improving enterprise Data Science knowledge and capacity
  • Positively impact project teams and set standards of excellence for the team by demonstrating technical expertise, strong work ethic, integrity, and professional behavior
Requirements
  • Masters degree in a quantitative field such as computer science, computational biology, statistics, epidemiology, or related
  • PhD/PharmD/MD preferred
  • At least 6 years of relevant experience in healthcare or life sciences industry is required
  • At least 6 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs, and/or R&D environment is required
  • Strong problem-solving skills with a solution-oriented mindset
  • Knowledge of machine learning, deep learning, and statistical modeling methods for supervised and unsupervised learning, including (but not limited to) regression analysis, clustering, outlier detection, decision trees, ensemble methods, and boosting, and neural networks
  • Strong Python or R programming skills with experience working with relevant software and tools such as Amazon Web Services (AWS), SQL, business intelligence tools, A/B testing, etc.
  • Specific data science experience within Oncology preferred
  • Proven ability to influence in a large, sophisticated organization
  • Experience in developing, communicating, advocating for, and delivering long-term strategies
  • Proven experience in prioritizing and leading a complicated portfolio of projects
  • Excellent communication and interpersonal skills

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