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Johnson & Johnson

Senior Scientist, Data Science – R&D DSDH – Discovery Biologics

Johnson & Johnson

Data Scientist designing and maintaining data pipelines for biologics discovery at Johnson & Johnson. Collaborating with cross-functional teams to leverage AI/ML in drug discovery processes.

Posted 5/9/2026full-timeCambridge • Massachusetts, Pennsylvania • 🇺🇸 United StatesSenior💰 $109,000 - $174,800 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design, develop, and maintain our Discovery Biologics data pipelines, integrating third party solutions, and data ingestion from our external partners.
  • Collaborate with data product owners, data scientists, analysts, architects, and other partners to understand data requirements and deliver high-quality solutions that enable Discovery processes for Biologics.
  • Build integrations with Therapeutics Discovery systems, Discovery data repositories, data ingestion from external partners, and other adjacent sources.
  • Optimize data workflows with implementations enabling ease of use, performance, scalability, and reliability.
  • Monitor and solve platform issues, ensuring timely resolution.

Requirements

What you’ll need
  • Advanced degree in Computational Biology, Bioinformatics, Data Science, Biomedical Engineering, Computer Science, or related fields.
  • Experience applying ML/AI in scientific domains (drug discovery, biology, chemistry, systems biology, or related areas).
  • Strong programming skills in Python (preferred) and experience with scientific/ML libraries (PyTorch, TensorFlow, scikit‑learn, RDKit, etc.).
  • Practical experience with data engineering, including data modeling, workflow orchestration, ETL/ELT pipelines, and cloud computing environments (AWS, GCP, or Azure).
  • Ability to work directly with experimental scientists to solve real R&D challenges.
  • Experience working in a life science environment, ideally antibody or protein engineering
  • Excellent problem-solving and analytical skills.
  • Familiarity integrating data across HPC and/or MLOps tools.

Benefits

Comp & perks
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
  • Caregiver Leave – 80 hours in a 52-week rolling period10 days
  • Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Hard Skills & Tools
PythonML/AIdata engineeringdata modelingworkflow orchestrationETLELTcloud computingPyTorchTensorFlow
Soft Skills
problem-solvinganalytical skillscollaboration