Applied R&D Data ScientistJoin 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.
What you will get:A competitive compensation. In addition, below you will find a comprehensive summary of the benefits package we offer:
- 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).
Compensation for this role will be determined by the candidate's qualifications, skills, experience, and relevant knowledge.
What you will do:- 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.
What we are looking for:- Bachelor's or master's degree in data science, Computer Science, Statistics, Cheminformatics, Computational Chemistry, Chemistry, Engineering, or a related quantitative discipline. Advanced degrees are preferred.
- 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.
Ready to shape the future of life sciences? Apply now.
