Principal Data Scientist – R&d Dsdh - Therapeutics Discovery (td)

Johnson & Johnson

Spring House, PA, United States
Not specified (considering the locations provided, it may imply flexibility).
Machine learning model development
Data pipeline development
Python programming
Johnson & Johnson is seeking a Principal Data Scientist for its Therapeutics Discovery organization, focusing on advanced machine learning and data engineering solutions to enhance drug discovery processes. The ideal candidate will possess a strong background in computational biology and experience in applying machine learning in scientific domains

Job Summary

  • Develop ML/AI models to support discovery workflows, including target prioritization and multi-omics integration.
  • Design, build, and maintain robust data pipelines to curate, standardize, and integrate diverse R&D datasets.
  • Partner with cross-functional teams to drive AI/ML adoption and contribute to evaluating new analytical methods and data platforms.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Data Scientist for its Therapeutics Discovery organization, focusing on advanced machine learning and data engineering solutions to enhance drug discovery processes. The ideal candidate will possess a strong background in computational biology and experience in applying machine learning in scientific domains.

Skills & Requirements

Must-have

  • Machine Learning model development
  • Data pipeline development
  • Python programming
  • Scientific/ML libraries (PyTorch, TensorFlow, scikit-learn, RDKit)
  • Cloud computing environments (AWS, GCP, Azure)
  • Collaboration with discovery scientists

Nice-to-have

  • Pharma or biotech discovery experience
  • Omics, imaging, chemical/biological data familiarity
  • Data standards (FAIR, ontologies)
  • Regulated or quality-governed environments

Key Requirements

  • Master's or Ph.D. in a relevant scientific or computational field
  • Experience applying ML/AI in scientific domains
  • Practical experience with data engineering
  • Ability to work directly with experimental scientists

Work Rights

Not specified

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