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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML methodologies, particularly in Bayesian Inference and Uncertainty Quantification, while leading research initiatives in drug discovery. Proficient in architecting scalable AI solutions and mentoring research teams to drive innovation in computational drug development.

Highest-signal resume keywords

Ph.D. In AI/MLBayesian InferenceUncertainty QuantificationPython ProgrammingPyTorch

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Bayesian InferenceUncertainty QuantificationInformation TheoryCausal InferenceGraph Neural NetworksPython ProgrammingArchitecting Scalable SolutionsModel-Performance ValidationAI/ML MethodologiesStatistical Analysis

Soft Skills

MentoringTeam Leadership

Tools & Technologies

LangGraphDSPyMem0PyTorchTensorFlowAWSAzure

Industry Keywords

Translational SafetyDrug DiscoveryComputational 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 supporting persistent, context-aware intelligence 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 and lead small groups of researchers
Benchmark AI agents against human experts and state-of-the-art methods
Publish research 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)
2+ years of proven experience
Deep expertise in Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related methodologies
Proficiency with LangGraph, DSPy, mem0, PyTorch, and 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: strong understanding of 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 residents; 56 hours for Washington residents
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
Inclusive interview accommodations
Equal opportunity employment