Experteer Overview As a Senior Data Scientist in Small Molecule Discovery, you design and deliver AI-ready data assets and analytics to accelerate discovery.

You bridge scientific workflows with modern data platforms, enabling scalable, well-governed data for machine learning and AI-enabled discovery.

You collaborate with medicinal chemists, automation and data teams to transform complex data into decision-ready resources.

This role offers the chance to shape data foundations that power next-gen AI applications in our Ru0026amp;D engine.

Compensaciones / Incentivos• Design, develop, and maintain data assets supporting small-molecule discovery workflows• Transform molecular, synthesis, purification, and assay data into reusable datasets for decision-making and ML• Define data requirements, business rules, and analytical use cases with scientists and tech teams• Develop scalable analytical workflows on modern cloud data platforms• Apply data science methodologies to extract insights from complex datasets• Ensure data are structured and documented to support AI applications• Contribute to data standards, metadata practices, and data quality frameworks• Collaborate with data engineering to ensure scalable, traceable,



reproducible data products• Create model-ready datasets for ML and AI initiatives• Evaluate opportunities to apply AI within discovery workflows• Mentor colleagues on modern data science approaches and best practices• Foster cross-functional collaboration across scientific, technical, and data teams

Responsabilidades• Master's degree or Ph.D. in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering, or related scientific discipline• 5+ years of industry experience in pharmaceutical, biotechnology, or life sciences research• Strong understanding of small-molecule discovery workflows, including molecular structures, reaction data, synthesis workflows, and SAR• Advanced proficiency in Python and SQL• Experience with cloud data platforms (Databricks, Snowflake)• Experience with RDKit for molecular/reaction data• Experience designing analytical workflows and data models for complex datasets• Understanding of data engineering concepts: data modeling, metadata, lineage, reproducibility, data quality• Ability to collaborate in a matrixed Ru0026D environment• Strong communication skills to translate between scientific and technical audiences

Requisitos principales• pension plan• 401(k) savings plan• long-term incentive program• vacation leave• holiday pay• parenteral leave

📌 Senior Data Scientist - R&D DDSAI - Small Molecule Discovery (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid