Johnson & Johnson · 5 days ago
Senior Principal Data Scientist
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Health CareMedical Device
H1B SponsorshipComp. & Benefits
Insider Connection @Johnson & Johnson
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.
Qualification
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Required
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
Company
Johnson & Johnson
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.
H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO· nyse:JNJ
Leadership Team
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