AI-Driven R&D Data Scientist for Chemistry

Lonza; Bend, Northern (OR, KY); Hybrid; Confidential; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) matching

Life insurance

Short-term and long-term disability

Employee assistance programs

Paid time off

Job summary

Lonza's Advanced Synthesis division is seeking a data science/ML expert to transform scientific data into AI-enabled solutions for life sciences. You will apply ML, cheminformatics, and AI to solve complex R&D challenges in a global organization.

You will develop predictive models, design AI capabilities, and deliver reproducible data pipelines while working closely with chemists, engineers, IT, and product teams to accelerate innovation.

Qualifications

• Bachelor’s or advanced degree in a relevant quantitative or scientific discipline.
• Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to chemistry or related R&D problems.
• Strong programming skills in Python and proficiency with pandas, NumPy, scikit-learn, PyTorch, or similar tools.
• Working knowledge of chemistry and chemical data, including structures, reactions, properties, and datasets.
• Experience developing, validating, and interpreting predictive models with clear communication of results and uncertainties.

Responsibilities

• Develop and apply ML, AI, and cheminformatics solutions to high-priority R&D challenges across chemical synthesis and related fields.
• Transform data into actionable insights, predictive models, and decision-support tools.
• Build, validate, and optimize models for reaction prediction, process optimization, and impurity analysis.
• Design and evaluate AI-enabled capabilities including generative AI and semantic search.
• Create reproducible data pipelines and modeling workflows with scientific rigor.
• Collaborate with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams.
• Drive projects from problem definition to validated outcomes to grow Lonza’s data science capabilities.

Skills

Python programming

Data science

Machine learning

Chemistry knowledge

Communication skills

Education

Bachelor's degree or higher in a quantitative/scientific field

Tools

pandas

NumPy

scikit-learn

PyTorch

Job description

Lonza's Advanced Synthesis division is seeking a data science/ML expert to transform scientific data into AI-enabled solutions for life sciences. You will apply ML, cheminformatics, and AI to solve complex R&D challenges in a global organization.

You will develop predictive models, design AI capabilities, and deliver reproducible data pipelines while working closely with chemists, engineers, IT, and product teams to accelerate innovation.