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Lead Scientist I (Chemistry)
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Описание вакансии
Текст:
TL;DR
Lead Scientist I (Chemistry/Automation): Designing and executing advanced chemical reaction workflows in Nansha, Guangzhou, with an accent on synthetic chemistry, process development, automation, and data-driven experimentation. Focus on optimizing scalable reactions, building model-ready datasets, integrating laboratory workflows with digital platforms, and supporting AI/ML-guided experimentation.
Location: Nansha, Guangzhou, China
Company
is a global life sciences organization with more than 30 sites across five continents, developing and manufacturing medicines and supporting customers’ breakthrough therapies.
What you will do
- Design and execute complex chemical reaction workflows across synthetic chemistry, biocatalysis, and process development.
- Develop screening strategies and optimize reaction kinetics, selectivity, yield, robustness, reproducibility, and scalability.
- Translate scientific questions into structured experimental plans suitable for automation and closed-loop experimentation.
- Collaborate with automation and robotic engineers to develop automated reaction-screening protocols and digital laboratory workflows.
- Work with data scientists to interpret experimental data, refine predictive models, and create model-ready datasets.
- Collaborate across chemistry, engineering, data, platform, global R&D, and external partner teams while mentoring junior scientists.
Requirements
- PhD in Chemistry, Organic Chemistry, Chemical Engineering, or a related field, with significant experience.
- Strong expertise in synthetic chemistry, process chemistry, or biocatalysis workflows.
- Proven experience in reaction design, optimization, and troubleshooting.
- Experience with data-driven experimentation, including Design of Experiments and statistical methods.
- Strong understanding of data structures, traceability, and experimental documentation.
- Ability to work in interdisciplinary environments with automation and data teams.
Nice to have
- Experience with automated or high-throughput experimentation platforms.
- Familiarity with digital laboratory systems, ELN/LIMS, or data pipelines.
- Exposure to modelling, machine learning, or AI-driven chemistry workflows.
- Industrial experience in pharmaceuticals, fine chemicals, or advanced materials.
Culture & Benefits
- Agile career opportunities and a dynamic working culture.
- Inclusive and ethical workplace grounded in collaboration, accountability, excellence, passion, and integrity.
- Performance-recognition compensation programs and benefits dependent on role and location.
- Access to advanced laboratory infrastructure and digital platforms.
- Collaboration with global experts in an interdisciplinary R&D environment.
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