Senior Data Scientist - Small Molecule Discovery & AI Data

Johnson & Johnson Co.; Spring House (PA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Vacation –120 hours per year

Sick time –40 hours per year

Parental Leave – 480 hours per year

Job summary

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist for Small Molecule Discovery to design data assets and analytical workflows across the Design‑Make‑Test‑Analyze cycle. You will work with discovery scientists, automation teams, and data engineers to transform complex scientific data into scalable, governed, and AI‑ready resources.

You will help establish robust foundations for analytics, machine learning, and digital laboratory initiatives, partnering with cross‑functional

Qualifications

• Master's or PhD in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering, or related field.
• 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.

Responsibilities

• Design, develop, and maintain high‑quality data assets that support small‑molecule discovery workflows.
• Transform molecular, synthesis, 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.

Skills

Strong communication

Collaboration

Critical thinking

Data analysis

Machine learning

Education

Master's or PhD in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering or related field

Tools

Python

SQL

Databricks

Snowflake

RDKit

OpenEye

Job description

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist for Small Molecule Discovery to design data assets and analytical workflows across the Design‑Make‑Test‑Analyze cycle. You will work with discovery scientists, automation teams, and data engineers to transform complex scientific data into scalable, governed, and AI‑ready resources.

You will help establish robust foundations for analytics, machine learning, and digital laboratory initiatives, partnering with cross‑functional