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Lonza

Global life sciences contract manufacturer

Lead Scientist 1

Bioprocess & BiomanufacturingConfirmed live in the last 24 hours
Full-timeGuangzhou, Guangdong Province, ChinaNo salary listed

About the Job

Requirements

  • A PhD degree with significant experience in Chemistry, Organic Chemistry, Chemical Engineering, or related fields is required.
  • Strong expertise in synthetic chemistry, process chemistry, or biocatalysis workflows is required.
  • A proven track record in reaction design, optimization, and troubleshooting is required.
  • Experience with data-driven experimentation, including Design of Experiments and statistical methods, is required.
  • A strong understanding of data structure, traceability, and experimental documentation is required.
  • The candidate must be able to work in interdisciplinary environments with automation and data teams.

Responsibilities

  • Design and execute complex chemical reaction workflows, including synthetic chemistry, biocatalysis, and process development.
  • Develop efficient screening strategies to explore chemical space and optimize reaction conditions.
  • Translate scientific questions into structured experimental plans suitable for automation.
  • Drive closed-loop experimentation from hypothesis through experiment and data to the next iteration.
  • Lead reaction optimization, including kinetics, selectivity, yield, and scalability improvement.
  • Apply Design of Experiments and data-driven approaches to accelerate development cycles.
  • Ensure robustness and reproducibility of developed processes.
  • Contribute to scale-up considerations and technology transfer.
  • Collaborate with robotic and automation engineers to translate chemistry workflows into automated protocols.
  • Provide domain expertise to guide development of automated reaction screening systems.
  • Ensure experimental workflows are compatible with digital platforms and data pipelines.
  • Contribute to development of model-ready datasets.
  • Work closely with Data Scientists to enable predictive modelling and optimization.
  • Interpret experimental data and provide insights for model refinement.
  • Support integration of experimental data with modelling platforms and cloud data systems.
  • Contribute to AI- and machine-learning-guided experimentation initiatives.
  • Collaborate with chemists, engineers, data scientists, and platform teams.
  • Mentor junior scientists and contribute to knowledge sharing.
  • Interface with global R&D teams and external partners where needed.
  • Drive scientific excellence and innovation culture within the team.

Desired Qualifications

  • Experience working with automated or high-throughput experimentation platforms.
  • Familiarity with digital lab systems, electronic laboratory notebooks, laboratory information management systems, or data pipelines.
  • Exposure to modelling, machine learning, or AI-driven chemistry workflows.
  • Industrial experience in pharmaceuticals, fine chemicals, or advanced materials.

About the Company

Lonza

Global life sciences contract manufacturer

Lonza is a global provider of development and manufacturing services for the pharmaceutical, biotechnology, and nutrition sectors. It supports clients from early development through to commercial production, offering integrated processes such as process development, GMP manufacturing, formulation, fill-finish, and quality assurance to bring medicines and nutrition products to market. Lonza’s model is built on end-to-end CDMO capabilities, enabling companies to move from concept to scalable, compliant production with reliable supply chains. What sets Lonza apart is its long history and global footprint, combining decades of experience across chemistry, biology, and nutrition with a broad, end-to-end service network that supports projects from discovery to commercialization. The company aims to be a trusted, long-term partner in life sciences by helping customers efficiently develop and manufacture their products at scale while maintaining strict regulatory and quality standards.

Company size
10,001+
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1897

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