Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Cambridge, MASpring House, PAMadrid, SpainBarcelona, Spain
Salary
$117,000–$201,250 / yr
Posted
7 days ago
Closes
Jun 26, 2026

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

Johnson & Johnson Innovative Medicine’s R&D Data, Data Science and Artificial Intelligence (DDSAI) team is seeking a Principal Scientist in Data Science to design and implement AI/ML, simulation, forecasting, optimization, and decision intelligence capabilities for Therapeutics Development Supply. This individual contributor role involves partnering with development, technical operations, clinical supply chain, finance, and digital/data science stakeholders to translate complex processes into practical computational models using Python and modern data science tools in a cloud-based environment. The ideal candidate will have 3-5+ years of experience applying data science methods to R&D challenges, strong Python programming skills, and a track record of delivering analytical products that influence business decisions. Experience in pharmaceutical product development, manufacturing, or clinical supply is preferred, as well as deploying simulation tools at enterprise scale. This role offers the unique opportunity to shape decision-making processes across drug product development and supply, directly impacting patient care globally.

What you'll do

  • Design and build digital twins and decision models for Therapeutics Development & Supply operations.
  • Apply data science methods to solve high-value business and scientific planning problems in TDS/DPDS.
  • Develop robust analytical workflows using Python and modern data science tools for technical environments.
  • Lead technical work across multiple concurrent projects while remaining a hands-on contributor.
  • Communicate model results clearly to both technical and non-technical stakeholders.

What we're looking for

  • Advanced degree in quantitative fields like Operations Research or Computer Science.
  • 3-5+ years of experience applying data science and operations research to complex problems.
  • Strong Python programming skills with modern analytical development practices.
  • Proven track record of delivering analytical products that influence business decisions.
  • Ability to provide technical leadership while remaining a hands-on contributor.
  • Experience in pharmaceutical product development or related regulated life sciences environments.

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