Senior Data Scientist, Biologics Discovery & ML

6084-Janssen Research & Development, LLC Legal Entity; Spring House (PA); On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability coverage

Job summary

Johnson & Johnson is seeking a Senior Data Scientist in Biologics Discovery to build ML data pipelines and model-ready datasets. You will collaborate with ISD and Discovery scientists to advance molecular design through robust featurization and evaluation frameworks.

You will shape AI-enabled biology workstreams, ensure data quality, and contribute to responsible AI practices within a matrix R&D environment across Spring House, Titusville, or Raritan locations.

Qualifications

• Requires an advanced degree in a related field (CS/ML/CompBio).
• 2+ years of applied ML experience with complex biomedical data.
• Proficiency in Python and modern ML stack (PyTorch, scikit-learn) and SQL.
• Experience turning heterogeneous experimental data into robust features.
• Understanding evaluation, validation, and leakage risks; strong collaboration skills.

Responsibilities

• Design featurization and curate datasets from antibody/protein sequence, construct, and assay data.
• Develop and evaluate models; ensure reproducibility and traceability of datasets.
• Partner with ISD and Discovery scientists to align ML problems with design-make-test-learn cycles.

Skills

Python

PyTorch

scikit-learn

SQL

MLOps

Active learning

Biologics ML

Education

Master's or Ph.D. in CS / ML / Computational Biology / Bioinformatics / Statistics

Tools

Cloud training

Data infrastructure

Experiment tracking

Model monitoring

Ontologies/Knowledge graphs

Job description

Johnson & Johnson is seeking a Senior Data Scientist in Biologics Discovery to build ML data pipelines and model-ready datasets. You will collaborate with ISD and Discovery scientists to advance molecular design through robust featurization and evaluation frameworks.

You will shape AI-enabled biology workstreams, ensure data quality, and contribute to responsible AI practices within a matrix R&D environment across Spring House, Titusville, or Raritan locations.