Principal Data Scientist – R&d Dsdh - Therapeutics Discovery (td)
J&J FAMILY OF COMPANIES
Spring House, PA, USA
Machine learning/ai models for drug discovery
Develop robust data pipelines
Python programming and ml libraries
Build and apply advanced Machine Learning (ML) and Data Engineering solutions that accelerate scientific innovation across the drug discovery lifecycle
Job Summary
Build and apply advanced Machine Learning (ML) and Data Engineering solutions that accelerate scientific innovation across the drug discovery lifecycle.
Develop ML/AI models that support discovery workflows, including target prioritization, multi-omics integration, and mechanistic inference.
This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations.
Matching Summary
Build and apply advanced Machine Learning (ML) and Data Engineering solutions that accelerate scientific innovation across the drug discovery lifecycle.
Skills & Requirements
Must-have
Machine Learning/AI models for drug discovery
Develop robust data pipelines
Python programming and ML libraries
Data engineering and cloud environments
Collaborate with discovery scientists
Nice-to-have
Experience in pharma/biotech discovery
Familiarity with omics data
Knowledge of data standards
Thrive in a multidisciplinary environment
Key Requirements
Master's or Ph.D. in relevant field
Experience applying ML/AI in scientific domains
Practical experience with data engineering
Ability to work directly with experimental scientists