Senior Data Scientist, Biologics Discovery & ML

Johnson & Johnson; Madrid; On-site; EUR 94,000 - 151,000; Full time

Benefits offered by this job

Annual performance bonus

Medical, dental, vision

Life and disability insurance

401(k) and retirement benefits

Paid time off (vacation)

Job summary

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist to advance the Biologics Discovery program. You will design featurization, build model-ready datasets, and develop ML solutions that guide molecule design and evaluation.

This role collaborates across ISD and in silico discovery, ensuring reproducible data workflows and rigorous validation. Madrid or US offices are supported, with emphasis on collaboration and impactful science.

Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning, Computational Biology, or a related field.
• At least 2 years of applied ML experience with dataset curation.
• Strong Python, PyTorch, scikit-learn, and SQL skills.
• Ability to translate complex biomedical data into robust features and models.
• Experience collaborating with scientists in a matrixed R&D environment.

Responsibilities

• Design robust featurization and curated datasets for biologics data.
• Develop ML models and evaluate on biophysics, sequences, and assays.
• Collaborate with ISD and Discovery teams to align on data readiness.
• Champion reproducibility and responsible AI.

Skills

Python

PyTorch

scikit-learn

SQL

Applied ML

Education

Master's or PhD in Computer Science / ML / Computational Biology

Tools

PyTorch

scikit-learn

SQL

Job description

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist to advance the Biologics Discovery program. You will design featurization, build model-ready datasets, and develop ML solutions that guide molecule design and evaluation.

This role collaborates across ISD and in silico discovery, ensuring reproducible data workflows and rigorous validation. Madrid or US offices are supported, with emphasis on collaboration and impactful science.