Senior Data Scientist, AI for Therapeutics Development

Johnson & Johnson Co.

Spring House (PA)

Vor Ort

USD 120.000 - 180.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive benefits

Zusammenfassung

Johnson & Johnson is seeking a Senior Scientist, Data Science to hands-on build and refine AI/ML models supporting Therapeutics Development & Supply. You will partner with Process Development, CMC, Clinical Supply, and Digital teams to deliver practical data-driven solutions across development and dossier preparation.

The role emphasizes strong quantitative depth, a background in CMC, fluency with data science tooling, and a track record of delivering measurable impact.

Qualifikationen

  • Advanced degree in a quantitative field with 1–3 years in applied data science or ML.
  • Proficiency in Python and common data science libraries.
  • Strong analytical, problem-solving and collaborative skills.

Aufgaben

  • Build, test, validate, and refine AI/ML models for Therapeutics Development & Supply.
  • Translate scientific questions into tractable modeling problems for business impact.
  • Perform exploratory data analysis, feature engineering, and model evaluation.
  • Develop clean analytical code using Python and cloud-based tools.
  • Follow software engineering best practices: version control, testing, docs, reproducibility.

Kenntnisse

Analytical thinking
Cross-functional collaboration
Communication skills
Model development
AI/ML

Ausbildung

Advanced degree in data science / statistics / CS / engineering
PhD preferred

Tools

Python
TensorFlow
PyTorch
scikit-learn
Pandas
NumPy

Jobbeschreibung

Johnson & Johnson is seeking a Senior Scientist, Data Science to hands-on build and refine AI/ML models supporting Therapeutics Development & Supply. You will partner with Process Development, CMC, Clinical Supply, and Digital teams to deliver practical data-driven solutions across development and dossier preparation.

The role emphasizes strong quantitative depth, a background in CMC, fluency with data science tooling, and a track record of delivering measurable impact.

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