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Johnson & Johnson

Makes prescription drugs and medical devices

Principal Scientist - AI-Native Discovery, Large Molecules

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

About the Job

Requirements

  • A PhD in a relevant scientific or technical discipline and at least 3 years of relevant drug discovery experience, including contributing to cross-functional discovery teams.
  • Knowledge of biologics discovery, candidate optimization, and therapeutic development processes.
  • Strong scientific leadership, communication, and stakeholder management skills, including the ability to organize and communicate complex data, models, and scientific concepts clearly to partners with diverse technical backgrounds.
  • Demonstrated expertise in AI, machine learning, agentic AI, structural modeling, computational biology, or computational approaches for antibody design and optimization.
  • Experience representing a computational function on cross-functional projects and integrating computational and experimental data to inform program strategy and scientific decisions.
  • Hands-on experience with large-scale scientific data curation, aggregation, manipulation, integration, mining, and analysis across structured and unstructured data sources.

Responsibilities

  • Partner closely with teams across In Silico Discovery to connect biologics discovery programs with relevant computational capabilities and AI-enabled approaches.
  • Partner with Biologics Discovery and Therapeutic Area teams to apply AI-enabled computational design, analysis, and decision support in Therapeutic Discovery programs.
  • Represent In Silico Discovery on cross-functional project teams and apply AI-enabled computational insights to support program strategy and decision-making.
  • Apply predictive modeling, machine learning, generative approaches, agentic AI, structural modeling, and computational biology to support experimental strategy and biologic candidate design and optimization.
  • Advance AI-native workflows that connect hypothesis generation, computational design, experimental testing, and model refinement to accelerate learning and decision-making.
  • Evaluate emerging technologies and contribute scientific recommendations to internal development, acquisition, partnering, licensing, or M&A opportunities.
  • Champion the responsible and scientifically rigorous adoption of AI and contribute to an innovative culture that values collaboration, experimentation, continuous learning, and knowledge sharing.
  • Maintain awareness of advances in AI, computational biology, structural modeling, and biologics design.
  • Contribute to Johnson & Johnson’s external scientific presence through peer-reviewed publications, conference participation, and collaboration with external organizations.

Desired Qualifications

  • Experience in therapeutic target analysis, structural biology, antibody-antigen interaction modeling, computational protein design, and scientific data visualization.
  • Experience with multimodal biological data, generative modeling, foundation models, AI agents, or iterative design-build-test-learn workflows.
  • Experience developing, scaling, or adopting computational platforms and workflows in partnership with technology development teams.
  • A strong publication record and demonstrated contributions to the discovery or advancement of preclinical or clinical candidates.
  • Experience collaborating with academic institutions, biotechnology companies, technology partners, or contract research organizations.
  • Experience evaluating emerging computational technologies or external scientific innovation opportunities.
  • Experience influencing multidisciplinary discovery teams spanning computational and experimental functions.
  • Influence both portfolio programs and the evolution of enterprise discovery capabilities.
  • Contribute to a collaborative global scientific community focused on delivering innovative medicines to patients.

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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