Principal Scientist, AI-Native Discovery – Large Molecules

Johnson & Johnson

. Partner with teams across In Silico Discovery to connect biologics discovery programs with computational capabilities and AI-enabled approaches .

Posted 10/16/2026full-timeUnited StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI, Machine Learning, and Computational Biology to drive biologics discovery and optimization. Proven ability to lead cross-functional teams and communicate complex scientific concepts effectively.

Highest-signal resume keywords

PhD In Relevant Scientific DisciplineAI And Machine Learning ExpertiseComputational Biology And Structural ModelingDrug Discovery ExperienceStrong Scientific Leadership And Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingGenerative ApproachesAgentic AIComputational Approaches For Antibody DesignData Curation And AnalysisBiologics Candidate OptimizationTherapeutic Development ProcessesExperimental Strategy SupportModel RefinementIntegration Of Computational And Experimental Data

Soft Skills

Stakeholder ManagementOrganizational SkillsClear Communication

Industry Keywords

In Silico DiscoveryTherapeutic DiscoveryAI-Native WorkflowsScientific PublicationsCross-Functional Project Teams

About the role

Key responsibilities & impact

Partner with teams across In Silico Discovery to connect biologics discovery programs with computational capabilities and AI-enabled approaches
Apply AI-enabled computational design, analysis, and decision support in Therapeutic Discovery programs
Represent In Silico Discovery on cross-functional project teams
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 connecting hypothesis generation, computational design, experimental testing, and model refinement
Evaluate emerging technologies and contribute recommendations to internal development, acquisition, partnering, licensing, or M&A opportunities
Champion responsible and scientifically rigorous AI adoption
Maintain awareness of advances in AI, computational biology, structural modeling, and biologics design
Contribute to external scientific presence through peer-reviewed publications, conference participation, and collaboration with external organizations
Help define AI-native approaches to biologics discovery and improve scientific learning and decision-making

Requirements

What you’ll need

PhD in a relevant scientific or technical discipline
Minimum of 4 years of relevant drug discovery experience, including experience contributing to cross-functional discovery teams
Knowledge of biologics discovery, candidate optimization, and therapeutic development processes
Strong scientific leadership, communication, and stakeholder management skills
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
Experience 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
May require some travel as needed

Benefits

Comp & perks

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year