✦ Luna Orbit — AI & Machine Learning

Senior Principal Scientist, AI/ML for Drug Discovery and Development - Data Sciences Analytics & Insights, Data Sciences

at Johnson & Johnson

📍 2 Locations Hybrid 💰 $137K – $235K USD / year Posted March 29, 2026
Salary $137K – $235K USD / year
Type Full-Time
Experience senior
Exp. Years 4+ years
Education Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field
Category AI & Machine Learning

Senior Principal Scientist to advance AI/ML for Drug Discovery and Development. Responsible for conceiving, developing, and deploying AI/ML models, mentoring junior scientists, and collaborating with cross-functional and external teams.

  • Conceive, develop, and deploy AI/ML models for multimodal biology and drug discovery
  • Mentor junior scientists and lead project initiation and execution
  • Collaborate with cross-functional teams and external partners
  • Hands-on coding and contribute to platform development
  • Communicate technical methods and results to diverse audiences

Hands-on AI/ML stack including Python, C++, PyTorch, TensorFlow; experience with Generative Modeling and Foundation Models; cloud platforms AWS/Azure; Docker-based platform development; deep domain knowledge in drug discovery.

The ideal candidate is a senior-level AI/ML scientist with a PhD and 4+ years post-PhD applying AI to drug discovery. They should have a proven track record in foundation models and cross-functional collaboration, with demonstrated ability to mentor scientists and communicate complex results to diverse audiences.

Ph.D. in Electrical EngineeringComputer ScienceStatisticsApplied Mathematicsor related fieldStrong background in artificial intelligence / machine learningProficiency with Python or C++Proficiency in PyTorch or TensorFlowExtensive experience with Generative Modeling / Geometric Deep Learning / Computer Vision / LLM / Bayesian Optimization / Bayesian Deep Learning / Causal AIExtensive experience and familiarity with drug discovery and clinical development processesDemonstrated proficiency in working with Foundation Models and Generative Modeling techniquesExcellent written and verbal communication skillsAbility to work independently and as part of a teamHands-on technical data analysiscloud computing (AWSAzure)and dockerization is a plus
Hands-on technical data analysisCloud computing (AWSAzure)Dockerization
PythonC++PyTorchTensorFlowAmazon Web ServicesAzureDocker
Ph.D.AI/MLPythonC++PyTorchTensorFlowGenerative ModelingGeometric Deep LearningComputer VisionLLMBayesian OptimizationBayesian Deep LearningCausal AIFoundation ModelsAWSAmazon Web ServicesAzureDockercloud computingdrug discoveryclinical developmentdata science
PythonC++PyTorchTensorFlowGenerative ModelingGeometric Deep LearningComputer VisionLLMBayesian OptimizationBayesian Deep LearningCausal AIFoundation ModelsAWSAmazon Web ServicesAzureDocker
CommunicationMentorshipTeamworkProblem solvingIndependent work
Industry Science & Research
Job Function Lead AI/ML initiatives at the intersection of data science and life sciences to accelerate drug discovery and development.
Role Subtype Senior Principal Scientist
Tech Domains Python, Amazon Web Services, Azure, Docker
Senior Principal ScientistAI/MLDrug DiscoveryDrug DevelopmentData SciencePythonC++PyTorchTensorFlowGenerative ModelingGeometric Deep LearningComputer VisionLLMBayesian OptimizationBayesian Deep LearningCausal AIFoundation ModelsAWSAmazon Web ServicesAzureDockerPh.D.drug discovery and clinical developmentai/mlpythonpytorchtensorflowfoundation modelsdrug discoverydrug developmentawsamazon web servicesazure

Ph.D. in a non-relevant field, Less than 4 years post-PhD experience, Lack of drug discovery / clinical development experience

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