Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Cambridge, MASpring House, PAMadrid, SpainBarcelona, SpainBeerse, Belgium
Salary
$117,000–$201,250 / yr
Posted
7 days ago
Closes
Jun 26, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $159k
$105k most similar roles pay here $232k

This role pays less than 65% of similar roles. Most pay $135,225–$199,850 — the shaded band above. At the midpoint, this role pays about $159k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 68 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 65 roles with salary data.

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At a glance

TL;DR · Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply

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Johnson & Johnson Innovative Medicine’s R&D Data Science team is seeking a Principal Scientist in Data Science to serve as a hands-on technical contributor responsible for designing and delivering AI/ML solutions that support Therapeutics Development Supply (TDS). This role involves collaborating with various teams such as Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science to develop impactful data science models. The ideal candidate should have 3-5+ years of experience in applied data science or related fields, strong Python programming skills, and proficiency in modern analytical development practices including version control and testing. Preferred candidates will also possess a Ph.D., relevant pharmaceutical industry experience, familiarity with regulated environments, and exposure to agent-based AI solutions. This unique opportunity allows for significant impact on the transformation of TDS through advanced analytics, supporting Johnson & Johnson’s mission to accelerate scientific decision-making and improve patient outcomes globally.

Skills

Python MachineLearning StatisticalModeling VersionControl Testing Documentation Reproducibility CodeReview CloudServices FeatureEngineering ExploratoryDataAnalysis UncertaintyAssessment SensitivityAnalysis GxP AgentBasedAI CMCDevelopment ClinicalSupply RegulatoryDossierPreparation

What you'll do

  • Design and develop advanced AI/ML models for high-value Therapeutics Development & Supply use cases.
  • Conduct rigorous exploratory analysis and feature engineering to ensure model credibility and robustness.
  • Develop reusable analytical workflows using Python and modern data science tools in cloud-based environments.
  • Apply software engineering best practices, including version control and documentation, to maintain code quality.
  • Provide technical guidance and mentor junior team members while actively contributing to business impact.

What we're looking for

  • 3-5+ years of experience in applied data science or related quantitative fields.
  • Strong Python programming skills and proficiency with modern analytical development practices.
  • Ability to translate complex scientific questions into tractable modeling problems.
  • Experience in pharmaceutical product development or related life sciences environments.
  • Strong stakeholder engagement and communication skills for both technical and non-technical audiences.
  • Familiarity with regulated (GxP) environments and data governance standards.

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