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Johnson & Johnson

Makes prescription drugs and medical devices

Principal Data Scientist - Data, Data Science, and AI - Global Development

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHopewell Township, NJ, USA$117k - $201.3kHybrid

About the Job

Requirements

  • A master's degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline is required.
  • At least 5 years of industry experience leading end-to-end delivery of data-science solutions using machine learning, predictive modeling, optimization, natural language processing, generative AI, or real-world data analytics is required.
  • Demonstrated experience defining, validating, deploying, and driving adoption of analytical solutions that inform clinical-development, clinical-operations, or real-world evidence decisions is required.
  • Hands-on experience with structured and unstructured clinical, operational, or real-world data, including multimodal modeling and time-series or simulation methods, is required.
  • Proficiency in Python, SQL, modern machine-learning, optimization and large-language-model development libraries, and reproducible machine-learning operations practices is required.
  • Strong communication, stakeholder-management, and technical-leadership skills are required.

Responsibilities

  • Own the end-to-end definition, development, validation, deployment, and adoption of integrated data-science solutions for defined business problems.
  • Lead predictive modeling, simulations, optimization, and generative AI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning.
  • Apply clinical, operational, cost, and real-world data—including electronic health records, claims, registries, and clinical-trial data—to generate evidence on patient populations, treatment pathways, feasibility, and operational risks.
  • Lead real-world data analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external-control use cases.
  • Develop large-language-model-enabled workflows for information extraction, protocol comparison, data harmonization, clinical-concept interpretation, and targeted workflow automation.
  • Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade-offs, and translate outputs into adopted recommendations and measurable use-case outcomes.
  • Apply model-validation, machine-learning operations, documentation, privacy, data-quality, and responsible-AI standards; contribute reusable code, data assets, and technical patterns.
  • Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences.
  • Mentor junior colleagues and strengthen delivery practices across project teams.

Desired Qualifications

  • Experience in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations is preferred.
  • Experience applying real-world data methods to clinical-trial design, including target-trial emulation, propensity methods, survival analysis, or time-to-event analysis, is preferred.
  • Experience delivering analytical products or applications used by clinical or business teams is preferred.
  • A PhD is preferred.

About the Company

Johnson & Johnson

Makes prescription drugs and medical devices

Johnson & Johnson develops prescription medicines and makes medical devices for hospitals, and unlike most big drugmakers, it runs both businesses under one roof. In 2015, its Darzalex became the first antibody drug approved for multiple myeloma, a blood cancer. Its medicines treat cancer, immune diseases such as psoriasis, and mental illnesses such as depression, and patented drugs bring in most of its sales. Its MedTech unit makes heart pumps, catheters that treat irregular heartbeats, surgical sutures, and Acuvue contact lenses. It was founded in 1886 to make sterile surgical dressings, is based in New Brunswick, New Jersey, and spun off its consumer brands, such as Tylenol and Band-Aid, as Kenvue in 2023.

Company size
10,001+
Company stage
IPO
Headquarters
New Brunswick, NJ
Founded
1886

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