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Data Analytics & Computational Sciences

Senior Principal Data Scientist

  • Job Title Senior Principal Data Scientist
  • Function Data Analytics & Computational Sciences
  • Sub Function Data Science
  • Category Senior Principal Scientist, Data Science (ST8)
  • Location Raritan, New Jersey, United States
  • Date Posted
  • Requisition Number 2406190079W
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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

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. 


  • 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.



  • Master’s degree in a quantitative field such as computer science, computational biology, statistics, epidemiology or related. PhD preferred
  • At least 4 years of relevant experience in healthcare or life sciences industry is required
  • At least 4 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, neural networks, generative AI.
  • 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.
  • Successful data science experience within Immunology 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
  • Passion for innovation, drive to create the best solutions and generate a positive impact for patients


  • The ability to travel up to 20% domestically to meet with business stakeholders and partners is required.
  • The anticipated base pay range for this position is between $135K to $202K USD.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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