Applied R&D Data Scientist

Lonza • Bend, OR

1d

About The Position

Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global organization.

Requirements

• Bachelor's or master’s degree in data science, Computer Science, Statistics, Cheminformatics, Computational Chemistry, Chemistry, Engineering, or a related quantitative discipline.
• Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems.
• Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools.
• Working knowledge of chemistry and chemical data, including familiarity with chemical structures, reactions, properties, and experimental datasets.
• Experience developing, validating, and interpreting predictive models while effectively communicating results, assumptions, uncertainty, and limitations.
• Proven ability to work independently in ambiguous technical environments, identify practical solutions, and deliver high-quality outcomes with scientific rigor.
• Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and engage both technical and non-technical stakeholders.

Nice To Haves

• Advanced degrees are preferred.

Responsibilities

• Develop and apply machine learning, statistical, AI, and cheminformatics solutions to address high-priority R&D challenges across chemical synthesis, process development, analytical sciences, and bioconjugation.
• Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools that enhance scientific understanding and experimental efficiency.
• Build, validate, and optimize predictive and analytical models for applications such as reaction prediction, process optimization, impurity analysis, and experimental design.
• Design and evaluate innovative AI-enabled capabilities, including generative AI, semantic search, information extraction, and scientific knowledge systems.
• Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks while ensuring scientific rigor and appropriate treatment of uncertainty and model limitations.
• Collaborate closely with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams to deliver impactful technical solutions and support implementation.
• Drive projects independently from problem definition through to validated outcomes, contributing to the growth of Lonza’s data science and AI capabilities within Advanced Synthesis.

Benefits

• A competitive compensation.
• Performance-related bonus.
• Medical, dental and vision insurance.
• 401(k) matching plan.
• Life insurance, as well as short-term and long-term disability insurance.
• Employee assistance programs.
• Paid time off (PTO).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level