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Lead Scientist I (Chemistry)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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