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

J&J FAMILY OF COMPANIES

Cambridge, Massachusetts, United States of America
Base: $109,000.00 - $174,800.00; bonus/equity: not...
On-site
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 R&D division, focusing on biologics discovery. The role requires expertise in data science, programming, and collaboration with experimental scientists to enhance drug discovery processes

Job Summary

  • Play a pivotal role in the creation of a suite of innovative biologics discovery solutions.
  • Enhance the impact of AI/ML and advanced analytics in our drug discovery processes, accelerating timelines through improved, data-driven decision-making.
  • This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Senior Scientist in Data Science for their R&D division, focusing on biologics discovery. The role requires expertise in data science, programming, and collaboration with experimental scientists to enhance drug discovery processes.

Salary

Base: $109,000.00 - $174,800.00; Bonus/Equity: Not specified; Benefits: Vacation –120 hours per calendar year, Sick time - 40 hours per calendar year, Holiday pay –13 days per calendar year, Work, Personal and Family Time - up to 40 hours per calendar year, Parental Leave – 480 hours, Bereavement Leave – 240 hours for an immediate family member, Caregiver Leave – 80 hours, Volunteer Leave – 32 hours, Military Spouse Time-Off – 80 hours

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 knowledge
  • life science environment experience
  • integrating data across HPC
  • MLOps tools familiarity

Key Requirements

  • Advanced degree in Computational Biology, Bioinformatics, Data Science, Biomedical Engineering, Computer Science, or related fields
  • Experience applying ML/AI in scientific domains
  • Strong programming skills in Python
  • Practical experience with data engineering
  • Experience with cloud computing environments (AWS, GCP, or Azure)
  • Ability to work directly with experimental scientists

Work Rights

Not specified

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