Sr Scientist, Data Science – R&d Dsdh – Discovery Biologics

Johnson & Johnson Innovative Medicine

Cambridge, Massachusetts, United States of America
$109,000.00 - $174,800.00 py
**
Design and maintain data pipelines
Integrate third-party solutions
Data ingestion from external partners
** Johnson & Johnson is seeking a Senior Scientist in Data Science for their Innovative Medicine division, focusing on biologics discovery in R&D. The ideal candidate will possess advanced technical skills in data science and a foundational understanding of biology, specifically in antibody design and protein engineering. **

Job Summary

  • Play a pivotal role in the creation of innovative biologics discovery solutions through collaboration between R&D Data Science, Therapeutics Discovery, and IT.
  • Design, build, and maintain a configurable, user-friendly, scalable, and integrated suite of data pipelines and workflows to drive scientific learning in Therapeutics Discovery.
  • This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations, shaping how TD data powers next-generation therapies.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Senior Scientist in Data Science for their Innovative Medicine division, focusing on biologics discovery in R&D. The ideal candidate will possess advanced technical skills in data science and a foundational understanding of biology, specifically in antibody design and protein engineering. **

Salary

$109,000.00 - $174,800.00

Skills & Requirements

Must-have

  • Design and maintain data pipelines
  • Integrate third-party solutions
  • Data ingestion from external partners
  • Python programming skills
  • ML/AI in scientific domains
  • Data engineering experience
  • Cloud computing environments

Nice-to-have

  • Basic understanding of biology
  • Antibody design knowledge
  • Protein engineering understanding
  • Life science environment experience
  • Problem-solving and analytical skills
  • HPC and/or MLOps tools familiarity

Key Requirements

  • Advanced degree in relevant field
  • Experience applying ML/AI
  • Strong programming skills in Python
  • Practical experience with data engineering
  • Experience with cloud computing environments

Work Rights

Not specified

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