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Johnson & Johnson

Makes prescription drugs and medical devices

Principal Scientist - Multiple Teams

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A master's degree in engineering, mathematics, or a related scientific discipline and at least 4 years of relevant experience are required; a PhD is a plus.
  • At least 4 years of relevant professional or academic experience in pharmaceutical research and development, biotechnology, healthcare, data science, digital health, artificial intelligence, analytics, or a related field.
  • Ability to work effectively in cross-functional and matrixed environments.
  • Experience translating scientific or business needs into practical data, analytics, digital health, or artificial-intelligence-enabled solutions.
  • Experience assessing and applying emerging artificial intelligence technologies, including generative artificial intelligence and agentic systems, to scientific, clinical, operational, or business challenges.
  • Strong problem-solving, communication, organizational, and stakeholder engagement skills.
  • Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.

Responsibilities

  • Contribute scientific and strategic input to Immunology research and development data science, digital health, and artificial-intelligence priorities spanning individual projects, portfolio initiatives, and collaborations with internal and external partners.
  • Partner with data science, digital health, and artificial-intelligence colleagues and Therapeutic Area teams to define, evaluate, and execute high-impact data science, digital health, artificial-intelligence, and analytics initiatives aligned with Immunology research and development objectives.
  • Collaborate with Therapeutic Area teams, data platform teams, Insights & Analytics, and other functions to design and implement data science use cases, develop roadmaps from pilot to scale, and identify opportunities for reusable capabilities and workflow standardization.
  • Develop a deep understanding of imaging, digital health, clinical, and real-world data assets and align scientific use cases with appropriate datasets, technologies, and partners.
  • Map and analyze scientific and operational workflows to identify process improvements, automation opportunities, and future-state solutions that enhance research execution.
  • Partner with platform and engineering teams to shape scalable data, analytics, and digital capabilities that are reusable, governed, interoperable, and sustainable.
  • Evaluate and pilot emerging technologies, including generative artificial intelligence, agentic workflows, workflow automation, and advanced analytics, to assess potential impact on Immunology research and development.
  • Contribute to data innovation and portfolio intelligence activities by identifying emerging technologies, data assets, and capability opportunities that may enhance research and development decision-making.
  • Perform detailed analyses, develop high-quality materials, and communicate recommendations in technical and leadership forums to support decision-making.
  • Perform other responsibilities in support of data science, digital health, and artificial-intelligence objectives and broader research and development priorities as required.

Desired Qualifications

  • Experience supporting Immunology or another therapeutic area research and development organization.
  • Experience delivering data science, artificial intelligence, digital health, analytics, or workflow transformation initiatives.
  • Experience working with healthcare datasets, including clinical trial, real-world, imaging, biomarker, omics, or digital health data.
  • Experience with analytical and data science tools such as Python, R, SQL, cloud platforms, or related technologies.
  • Experience contributing to the design, implementation, integration, or scaling of machine learning, generative artificial intelligence, agentic artificial intelligence, workflow automation, or digital health solutions in a healthcare or life sciences environment.
  • Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives.

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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