Principal Data Scientist – R&D DSDH - Therapeutics Discovery (TD)

Johnson & Johnson

Remote Actively hiring
Remote, USA · Spring House, PA · Cambridge, MA · La Jolla, CA · San Diego, CA · Beerse, Belgium · Madrid, Spain · Barcelona, Spain Posted 31 days ago $117,000$201,250 / year

At a glance

AI generated

TL;DR

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist to join its R&D Data Science team in support of Therapeutics Discovery (TD). This role involves building and applying advanced Machine Learning and Data Engineering solutions to accelerate scientific innovation across the drug discovery lifecycle. The ideal candidate will develop ML/AI models for target prioritization, multi-omics integration, and mechanistic inference using deep learning, graph learning, and generative models on chemical, biological, imaging, and assay datasets. Additionally, they will design robust data pipelines, collaborate with scientists to translate experimental datasets into actionable insights, and drive AI/ML adoption across R&D teams. Required skills include a Master’s or Ph.D., strong Python programming, experience in ML/AI applications for scientific domains, and proficiency in cloud computing environments like AWS, GCP, or Azure. Preferred candidates have experience in pharma/biotech discovery, familiarity with omics data, high-content imaging, chemical structure data, and knowledge of data standards in regulated environments.

Skills

Python PyTorch TensorFlow scikit-learn RDKit AWS GCP Azure Machine Learning Data Engineering MLOps DevOps CI/CD FAIR Ontologies Controlled Vocabularies

What you'll do

  • Develop ML/AI models for target prioritization and multi-omics integration.
  • Design and maintain data pipelines to integrate diverse R&D datasets.
  • Collaborate with TD scientists to translate experimental datasets into actionable insights.
  • Implement MLOps/DevOps workflows to deploy ML models in production environments.
  • Evaluate new analytical methods and automation technologies for discovery science.

What we're looking for

  • Master’s or Ph.D. in a relevant scientific or computational field.
  • Experience applying ML/AI in drug discovery or related scientific domains.
  • Strong Python programming skills with proficiency in scientific/ML libraries.
  • Practical experience in data engineering and cloud computing environments.
  • Ability to collaborate directly with experimental scientists on R&D challenges.
  • Familiarity with omics, high-content imaging, chemical structure, and assay data.
  • Knowledge of data standards and working in regulated or quality-governed settings.

Market check

Salary context

This $117,000–$201,250 range sits above 32% of similar postings on FindRole.

Peer median band

$112,020$220,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$138,400$199,800

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 46 open roles on FindRole.

Listed pay typically runs $122,000–$211,025 across 45 roles with salary data.

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