Senior Data Scientist - R&D DDSAI - Molecule Discovery

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Job Function:
Data Analytics & Computational Sciences Job Sub Function:
Data Science Job Category:
Scientific/Technology All Job Posting Locations:
Beerse, Antwerp, Belgium, Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain, Spring House, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist dedicated to our Small Molecule Discovery organization. This role sits within our Data Science team and partners closely with medicinal chemists, automation scientists, data engineers, computational scientists, and technology teams to ensure that small‐molecule discovery data are transformed into trusted, reusable, AI‑ready assets. The role operates at the intersection of scientific discovery, data science, and scientific data engineering.

You will help shape how molecular, synthesis and purification, and assay data are represented, connected, and leveraged to support scientific decision-making, advanced analytics, machine learning, and emerging AI capabilities throughout the discovery lifecycle.

Small Molecule Discovery generates large volumes of complex and interconnected data across design, synthesis, purification, characterization, and testing workflows. Realizing the full value of these data requires more than traditional analytics. It requires deep understanding of how scientific workflows generate data, how those data should be modeled and governed, and how they can be transformed into reusable assets for decision support, machine learning, and AI-enabled discovery.

This role serves as a critical bridge between scientific workflows and modern data platforms, ensuring that discovery data can be effectively leveraged to accelerate insight generation, improve data quality, and enable next-generation AI applications developed by our partners in our In Silico Discovery.

As a Senior Data Scientist, Small Molecule Discovery, you will design and develop data assets, analytical solutions, and scientific data workflows to support discovery research across the Design‑Make‑Test‑Analyze cycle. You will work closely with discovery scientists, automation teams, and technology partners to transform complex scientific data into scalable, well‑governed, and AI‑ready resources. You will bring deep understanding of small‑molecule discovery data and modern data science practices to help establish robust foundations for analytics, machine learning, and digital laboratory initiatives.

• 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…