Senior Data Scientist, Small Molecule Discovery & AI Data

Johnson & Johnson; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vacation – 120 hours/year

Sick time – 40 hours/year

Holiday pay – 13 days/year

Parental Leave – 480 hours/year

Volunteer Leave – 32 hours/year

Military Spouse Time-Off – 80 hours

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a Senior Data Scientist for Small Molecule Discovery. You will design data assets and workflows to support discovery research across the design-make-test-analyze cycle, collaborating with medicinal chemists, automation scientists, data engineers, and technology partners to transform complex data into scalable, AI-ready resources.

You will help shape data representation across design, synthesis, purification, and assay data, enabling analytics, machine

Formación

• Master's degree or Ph.D. in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering, or a related scientific discipline.
• 5+ years of industry experience in pharmaceutical, biotechnology, or life sciences research environments.
• Strong understanding of small-molecule discovery workflows, including molecular structures, reaction data, synthesis workflows, and structure-activity relationships.
• Advanced proficiency in Python and SQL.
• Experience developing solutions on modern cloud data platforms, including Databricks and Snowflake.
• Significant experience working with molecular and reaction data using scientific software libraries and toolkits such as RDKit.
• Experience designing analytical workflows and data models for complex scientific datasets.
• Understanding of data engineering concepts including data modeling, metadata management, lineage, reproducibility, and data quality.
• Ability to collaborate effectively with scientists, engineers, and technology partners in a matrixed R&D environment.
• Strong communication skills and the ability to translate between scientific and technical audiences.

Responsabilidades

• Design, develop, and maintain high-quality data assets that support small-molecule discovery workflows.
• Transform molecular, synthesis and purification, and assay data into reusable datasets that support scientific decision-making and machine learning applications.
• Partner with scientists and technology teams to define data requirements, business rules, and analytical use cases.
• Develop scalable analytical workflows using modern cloud data platforms and scientific computing tools.
• Apply data science methodologies to extract insights from complex discovery datasets.
• Ensure scientific data are structured, documented, and represented in ways that support advanced analytics and AI applications.
• Contribute to the development of data standards, metadata practices, and data quality frameworks for discovery data.
• Partner with data engineering teams to ensure discovery data products are scalable, traceable, and reproducible.
• Support the creation of model-ready datasets for machine learning and scientific AI initiatives.
• Evaluate emerging opportunities to apply AI and advanced analytics within discovery workflows.
• Serve as a trusted technical partner to medicinal chemists, automation scientists, and in silico discovery teams.
• Translate scientific workflows and requirements into computational and data solutions.
• Contribute to best practices in scientific computing, data management, and reproducible research.
• Mentor colleagues on modern data science approaches and scientific data practices.
• Foster collaboration across scientific, technical, and data-focused teams.

Conocimientos

Python

SQL

Databricks

Snowflake

RDKit

Machine Learning

Data Engineering

Educación

Master's degree or Ph.D. in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering, or related field

Herramientas

RDKit

Databricks

Snowflake

Descripción del empleo

Johnson & Johnson Innovative Medicine seeks a Senior Data Scientist for Small Molecule Discovery. You will design data assets and workflows to support discovery research across the design-make-test-analyze cycle, collaborating with medicinal chemists, automation scientists, data engineers, and technology partners to transform complex data into scalable, AI-ready resources.

You will help shape data representation across design, synthesis, purification, and assay data, enabling analytics, machine