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阿斯利康
Associate Principal Scientist - Process Analytical Technology (PAT) and Chemometrics
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Associate Principal Scientist - Process Analytical Technology (PAT) and Chemometrics

发布于 大约 2 小时前

普通员工/个人贡献者

无锡市
高级经验
全职员工
仅现场办公
本科
药物研发
Matlab
Nir
Pat
Pca
Pls
Raman
数字化转型
机器学习
过程控制

AI 估算 · 45k–75k

高级科学家岗位，PAT与化学计量学稀缺技能，制药行业需求大，外企薪酬竞争力强，无锡生活成本低于上海，综合估算。

职位详情

关于这个职位

该职位负责为商业产品的连续制造提供过程分析技术（PAT）和化学计量学支持，涵盖光谱仪器、多元数据分析和过程控制

您将开发和管理化学计量模型，与全球制造工厂及测试实验室协作，推动过程理解和数字化转型
适合具备深厚分析科学背景和机器学习经验的专业人士

最低要求

Ph.D. – 5+ years, MS – 8+ years, BS – 10+ years of relevant industry experience. Degree in relevant field (Analytical Chemistry, Pharmaceutical Sciences, or Engineering etc.)

Data Analytics, including Chemometrics, Multivariate Data Analysis (MVDA) and Machine Learning with demonstrated success in the development and validation of multivariate methods in a commercial environment.
Expertise in PAT (e.g.: spectroscopic) methods used in association with chemometric models in commercial setting and PAT orchestration (e.g. SIPAT/SynTQ).
Expertise in PAT interface with commercial processes (in-line, on-line, at-line) and control strategy.
Expertise defining business strategy for the integration of PAT/MSPC in the on-market space.
Scientific leadership skills
Understanding of Technology Transfer in the Pharmaceutical industry
Proven track record to think and operate across functional boundaries
Effective influencing and prioritization skills
Good communication and stakeholder management skills
A strong understanding of key process analytical technologies, especially NIR, Raman and microwave resonance spectroscopy
Demonstrated expertise in PAT method development, implementation, optimization and use of Multi-variate data analysis/ Chemometrics (MVDA, PCA, PLS)
Experience with chemometric modelling software such as SIMCA, Unscrambler, MATLAB, or similar tools for developing, validating, and maintaining multivariate models in a commercial environment.
Knowledge of the principles and management of Safety, Health & Environment (SHE)
Business acumen and capability to understand business cases in subject matter areas.

工作职责

Responsible expert for the delivery of PAT (instrument, chemometrics, and process control) support for on-market commercial products.

Responsible for the framework lifecycle management of chemometric models related to the commercial supply or testing of drug products, ensuring equivalency for multi-site models.
Management of products knowledge throughout the product lifecycle to enable robust PAT/model use and control strategies.
Identifies opportunities and implements use of PAT to develop process understanding and evolve control strategies, including integration with commercial processes (in-line, on-line, at-line) to deliver business benefits.
Provides support for model updates and validation in the on-market space.
Provides technical expertise and leadership to aid in the resolution of PAT instrument/model-related manufacturing issues and complaints impacting supply, including application of multivariate analysis.
Develops suitable corrective and preventive actions in support of PAT and/or chemometric model related investigations.
Responsible for the support of impact or transfer of PAT methods (including chemometric model) in relation to asset strategy projects to AZ or external manufacturing partners.
Takes leadership in developing, maintaining, and collaborating with instrument vendors (including software) and model software vendors to support changes, improvements and issue resolution.
Defines business strategy for the integration of PAT/MSPC in the on-market space.
Leads stakeholder engagement and builds business cases for implementation of new PAT technologies in the on-market space.
Leads, assesses impact & supports complex technical improvements or change activities assuring product performance.
Knowledgeable of vibrational spectroscopy methods and Process Analytical Technology (PAT) applications and provides support to associated models during development and routine use phases.
Supports the development of models used in the application of improving product robustness – including process performance monitoring, process performance predictive modelling, real-time or near real time models, etc. via methods such as MSPC (multivariate statistical process control).
Identifies opportunities for model improvements and digital innovation.
Using domain-specific understanding, translates unstructured, complex business problems into the appropriate data problem, model and analytical solutions.
Researches and develops advanced predictive models and computational methods to guide and shape decision-making within the project scope.

优先资格

Proven ability to train teams on PAT tools or lead cross-site projects.

Experience working with software vendors for PAT upgrades.
Familiarity with current digital trends in PAT, such as Digital Twins and Simulation models.
Work experience in the pharmaceutical industry in a PAT
Experience in or exposure to multiple subject areas in CMC and related functions
An understanding of other key analytical techniques such as separation science, NMR and mass spectrometry
Previous experience and training in Lean, problem-solving tools and experience in data analysis and interpretation

AI 洞察

优缺点分析

优点

  • 阿斯利康作为全球制药巨头，提供广阔的国际平台和丰富的跨部门资源
  • PAT和化学计量学是制药行业智能制造的核心技术，具有前沿性和稀缺性，职业竞争力强
  • 职位参与全球项目，与多国团队协作，能够大幅提升跨文化沟通和领导能力
  • 该职位对专业深度要求极高，需要同时掌握分析化学、统计学和工程知识，学习曲线陡峭
  • 制药行业法规严格，模型验证和变更管理流程复杂，工作容错率低
  • 适合拥有博士或硕士学历、在制药或相关行业积累多年PAT经验，热爱技术钻研并愿意承担全球性责任的专业人士

缺点 / 挑战

  • 跨时区沟通和频繁的项目协调可能带来工作压力，需具备较强的抗压和多任务处理能力

角色解读

  • 作为技术专家，可以继续在PAT和化学计量学领域深入，成为全球范围内的学科带头人
  • 可以转向管理岗位，领导PAT团队或负责更广泛的制药工艺技术战略
  • 在数字化和智能制造浪潮下，该角色有望进入产品数字化转型或数字孪生等新兴领域
  • 负责商业产品连续制造中的PAT（过程分析技术）支持，包括近红外、拉曼等光谱仪器的应用与维护
  • 开发和验证化学计量学模型，用于实时监控和预测生产过程，确保产品质量稳定
  • 领导跨职能项目，与全球制造基地和外部合作伙伴协作，推动PAT技术的整合和数字化转型
  • 为制造中出现的仪器或模型问题提供技术领导，制定纠正和预防措施
  • 精通化学计量学、多元数据分析和机器学习，有商业环境中开发验证多元模型的实际经验
  • 熟悉过程分析技术（特别是NIR、Raman）以及PAT与商业过程的集成，如SIPAT/SynTQ
  • 掌握SIMCA、Unscrambler、MATLAB等建模软件，能够进行数据分析和模型生命周期管理
  • 具备科学领导力和跨部门沟通能力，能够影响并推动变革

申请策略

  • 了解阿斯利康在连续制造和数字化转型方面的战略，在面试中结合公司的具体项目论述自己的价值
  • 准备一段关于解决复杂PAT问题的故事，展示逻辑思维和决策过程
  • 突出化学计量学项目经验，特别是使用SIMCA/MATLAB等工具开发验证多元模型的实际案例
  • 强调在商业环境中成功实施PAT技术的成就，包括对产品质量或效率提升的量化影响
  • 展示与仪器供应商或跨部门团队协作的成果，体现领导力和影响力
  • 补充机器学习（如深度学习）和数字孪生相关技能，契合行业数字化趋势
  • 熟悉SIPAT/SynTQ等PAT软件平台，可通过在线课程或仿真项目实践
  • 提高英文技术文档撰写和跨文化沟通能力，以应对全球协调需求

面试指南

  • 使用STAR法则（情境、任务、行动、结果）回答行为类问题
  • 技术类问题则结合理论框架和实际案例，突出逻辑与创新
  • 请介绍一个你成功开发并验证化学计量学模型的项目，遇到了哪些挑战？
  • PAT方法在商业转移中通常会引起哪些法规问题？如何解决？
  • 如何从非结构化业务问题抽象出数据科学问题？举例说明
  • 如何处理多站点模型的一致性问题？
  • 你如何看待过程分析技术（PAT）在连续制造中的未来趋势？
  • 复习化学计量学基础（PCA、PLS）和多元过程控制（MSPC）的原理及应用

职位点评

70
综合评分

前沿技术、全球平台、发展空间大，但工作地点较偏远且WLB未明确。

从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。

更适合这类人
最适合追求技术深度和职业成长、能接受现场工作的资深专业人士。
表现最好
成长发展
相对薄弱
工作生活
薪资福利70
成长发展85
工作生活45
使命价值75

薪资福利

70中等

薪资未明确披露，但高级科学家岗位在制药外企通常具有竞争力，公司知名度高，稳定性强。

薪资信号未披露（AI估算：45K-75K/月）

成长发展

85较高

职位涉及前沿技术（机器学习、数字孪生、化学计量学），并提供跨职能全球项目机会，发展空间大。

技术前沿前沿/新兴技术
技术栈PAT、Chemometrics、MVDA、PCA、PLS、NIR、Raman、机器学习、SIPAT、SynTQ、SIMCA、MATLAB、数字孪生
业务类型ambiguous

工作生活

45较低

工作地点在无锡，可能位于生产基地，通勤和办公环境一般；JD未提及弹性工作或双休，生活方式评分较低。

工作模式仅现场办公
办公地点工厂/生产基地
加班情况未提及（无法判断）

使命价值

75中等

制药行业对患者健康有积极影响，职位通过提升工艺质量间接造福患者，但JD未强调使命，社会价值感中等偏上。

行业发展稳定成熟行业
社会影响正向社会影响力较高
创新程度积极采用新技术

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