Senior Data Scientist — Biologics Discovery & AI

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

Job summary

Johnson & Johnson Innovative Medicine in Madrid seeks a Senior Data Scientist for Biologics Discovery. You will design featurization, curate datasets, and build ML models on antibody/protein data, aligning with ISD and DDSAI to deliver trustworthy, scalable solutions.

The role collaborates with ML engineers and scientists across Discovery, shaping AI-driven decisions in the DMTL cycle. A Master’s/PhD and 2+ years ML experience are required; no remote work.

Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, or a related field.
• At least 2 years of applied ML experience, including model development, evaluation, and dataset curation on complex scientific or biomedical data.
• Strong proficiency with Python and the modern ML stack (e.g., PyTorch, scikit-learn) and SQL.
• Experience turning complex, heterogeneous experimental data into robust features and training sets, with exposure to cloud training and data infrastructure.
• Sound understanding of evaluation, validation, and the risks of leakage and distribution shift.
• Ability to collaborate effectively with experimental scientists and modeling partners in a matrixed R&D environment.

Responsibilities

• Develop featurization and model-ready datasets from antibody/protein sequence, construct, assay, and biophysical data.
• Work with data engineers to specify the features, labels, and levels of aggregation that models need, preserving raw representations where information matters.
• Curate, document, and version datasets so modeling is reproducible and traceable.
• Collaborate with ISD to hand off standardized, traceable training datasets and align on where Data Science enables versus where ISD owns modeling.
• Partner with Discovery scientists to frame ML problems around real decision points in the DMTL cycle.
• Work closely with ontology and MLOps colleagues so datasets carry consistent semantics and models move reliably from development into use.
• Champion reproducibility, documentation, and responsible AI.

Skills

Applied ML

Python

PyTorch

scikit-learn

SQL

Education

Master’s or Ph.D. in Computer Science or related field

Tools

Python ML stack

Data engineering collaboration

Job description

Johnson & Johnson Innovative Medicine in Madrid seeks a Senior Data Scientist for Biologics Discovery. You will design featurization, curate datasets, and build ML models on antibody/protein data, aligning with ISD and DDSAI to deliver trustworthy, scalable solutions.

The role collaborates with ML engineers and scientists across Discovery, shaping AI-driven decisions in the DMTL cycle. A Master’s/PhD and 2+ years ML experience are required; no remote work.