Principal Scientist – AI Reasoning for Drug Discovery

Johnson & Johnson

. Architect an AI-Reasoning platform supporting Translational Safety decision-making in drug discovery and development .

Posted 9/23/2026full-timeUnited StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML methodologies, particularly in Bayesian inference and uncertainty quantification, while leading research and mentoring teams in the development of innovative solutions for drug discovery. Proficient in architecting scalable AI systems and translating complex scientific data into actionable insights.

Highest-signal resume keywords

Ph.D. In AI/MLBayesian InferenceDeep Learning PlatformsPython ProgrammingAgentic Frameworks

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Applicant Tracking System Keywords

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Hard Skills

Bayesian InferenceUncertainty QuantificationInformation TheoryCausal InferenceGraph Neural NetworksPython ProgrammingModel-Performance ValidationStatisticsArchitecting Scalable SolutionsAI-Driven Scientific Reasoning

Soft Skills

Team LeadershipMentoring

Tools & Technologies

PyTorchTensorFlowLangGraphDSPyMem0AWSAzure

Industry Keywords

Drug DiscoveryTranslational SafetyComputational Drug DiscoveryBiological Data Types

Tech Stack

Tools & technologies

AWSAzurePythonPyTorchTensorflow

About the role

Key responsibilities & impact

Architect an AI-Reasoning platform supporting Translational Safety decision-making in drug discovery and development
Pioneer multimodal AI systems synthesizing scientific data into actionable insights
Architect agent memory systems that retain knowledge and make context-aware decisions across the discovery-to-development pipeline
Lead research in uncertainty quantification and trustworthy AI-driven scientific reasoning
Translate emerging AI/ML frontiers into applications for computational drug discovery
Mentor teams of researchers
Benchmark AI agents against human experts and state-of-the-art methods
Publish findings in premier venues

Requirements

What you’ll need

Ph.D. in AI/ML or related fields (computer science, machine learning, data science, applied mathematics, statistics) with 2+ years of proven experience
Deep expertise in Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related methodologies
Proficiency with agentic frameworks (LangGraph, DSPy, mem0)
Proficiency with deep learning platforms (PyTorch, TensorFlow)
Exceptional Python programming skills
Ability to architect scalable solutions bridging innovation and production deployment
Ability to lead small teams of researchers
Preferred: understanding of drug discovery pipeline and biological data types
Preferred: statistics and model-performance validation methods
Preferred: familiarity with AWS and/or Azure

Benefits

Comp & perks

Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 48 hours for Colorado employees; 56 hours for Washington employees
Holiday pay, including Floating Holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Company benefits information available at careers.jnj.com/employee-benefits