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Pfizer
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Manager - Manufacturing Intelligence

Manager - Manufacturing Intelligence

Pfizer

5 - 9 years

0 Lacs

delhi

Posted:4 days ago| Platform: Shine logo

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Skills Required

python r matlab javascript data engineering data science machine learning thermodynamics heat transfer snowflake aspen data visualization spotfire cell culture fermentation biopharmaceutical manufacturing reaction modeling mass transfer principles interpretable machine learning explainable ai shapley values aws sagemaker redshift sql databases feedback control algorithms realtime communication protocols industrial process historians industrial automation platforms deltav streamlit plotly vaccines conjugation

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Scientist specializing in Process Modeling and Hybrid Modelling within the Manufacturing Intelligence (MI) team of Pfizer's Global Technology & Engineering (GT&E), your role will involve the development and implementation of advanced analytics solutions such as AI/ML, soft sensor, advanced process control, and process condition monitoring in support of manufacturing operations at Pfizer Global Supply (PGS). **Responsibilities:** - Make technical contributions to high-impact projects requiring expertise in data analytics, advanced modeling, and optimization. - Identify valuable opportunities for applying Advanced Analytics, Advanced Process Control (APC), Artificial Intelligence (AI), Machine Learning (ML), and Industrial Internet of Things (IIoT) in manufacturing settings. - Develop mathematical and machine learning models and assist in the GMP implementation of analytics solutions. - Utilize engineering principles and modeling tools to improve process understanding and enable real-time process monitoring and control. - Collaborate with cross-functional teams, communicate progress effectively to management, and drive project advancement. **Basic Qualifications:** - Preferably a B. Tech in computer science. - Must possess expert-level knowledge in Python; familiarity with R, Matlab, or JavaScript is a plus. - Proficiency in performing data engineering on large, real-world datasets. - Demonstrated experience in applying data science and machine learning methodologies to drive insights and decision-making. - Ability to work collaboratively in diverse teams and communicate effectively with technical and non-technical stakeholders. - Knowledge of Biopharmaceutical Manufacturing processes and experience in technical storytelling. **Preferred Qualifications:** - Expertise in first principles such as thermodynamics, reaction modeling, and hybrid modeling. - Experience with Interpretable Machine Learning or Explainable AI and familiarity with Shapley values. - Proficiency in cloud-based development environments like AWS SageMaker and data warehouses like Snowflake or Redshift. - Understanding of feedback control algorithms, real-time communication protocols, and industrial automation platforms. - Experience in data visualization tools like Streamlit, Plotly, or Spotfire. - Knowledge of Cell Culture, Fermentation, and Vaccines Conjugation. This role offers a flexible work location assignment, including the option to work remotely. Pfizer is an equal opportunity employer, adhering to all applicable equal employment opportunity legislation across jurisdictions.,

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Pfizer

Pharmaceutical Manufacturing

New York New York

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Manager - Manufacturing Intelligence