Pfizer

Data Scientists, Advanced process control Manufact...

Job description

Job Description



Data Scientists, Advanced process control – Manufacturing Intelligence Manufacturing Intelligence organization within Pfizer’s Global Technology & Engineering (GTE) drives Pfizer Global Supply toward ‘Industry 4.0’ capability through Big Data, Process Analytical Technology, Advanced Process Control, Process Modelling, Artificial Intelligence and Advanced Robotics.
The Manufacturing Intelligence organization identify and deliver high-value transformational opportunities focused on process insight and control of manufacturing assets and processes with the potential for substantially reducing cost and cycle time and increasing robustness and productivity.
Within the Manufacturing Intelligence organization one of the teams (MI Data Analytics) will be responsible for providing expert advanced data analytics and modelling support. This team will work in close partnership with all other Manufacturing Intelligence teams, providing supplementary advanced analytics expertise across a range of fields in support of the MI programme portfolio.
We are seeking applicants for a number of positions reporting to the team leader of Manufacturing Intelligence data analytics team. These positions will be based in Chennai, India and may require travel up to 20% of the time.
Responsibilities


  • Provide expert advanced modelling and data analytics support to all teams in Manufacturing Intelligence organization and in support of project execution at manufacturing sites.
  • Translate business requirements into tangible solution specifications and high quality, on time deliverables
  • Support the building, testing, deployment and qualification of process soft sensor models.
  • Stay abreast of industry 4.0 trends and developments in AI/ML and work with other MI teams to pilot new advances to drive value for PGS.
Qualifications:
  • Higher degree in Engineering, Data Science, Statistics, Applied Mathematics, Computer Science or related technical field.
  • Preferably Post-Graduation (minimum 3 years hands-on experience) or Ph.D. (minimum 1 year industrial experience) with specialized knowledge in data science
Experience: Advanced Process Control profile
Applicants with hands on experience in the following areas will be of interest:
  • Practical experience in Data analytics/modelling with domain expertise and industrial exposure
  • First principle and hybrid model development (including soft sensors), background in heat transfer & thermodynamics
  • Process Analytical Technology (PAT), process modelling, RTR, Advanced Process Control (APC), model predictive control (MPC) with hands-on experience on SIMCA, PharmaMV, AspenTech or similar tools
  • Continuous process verification (CPV), exposure on Informa.
  • D ata science/ ML and AI experience including Scikit-Learn, TensorFlow and PyTorch libraries will be added advantage
  • Deployment of Python codes on cloud platform for real-time execution
  • Technical knowledge of pharmaceutical manufacturing unit operations and experience of delivery of innovative solutions in a regulated environment
Attributes:
  • A bility to collaborate effectively internally and with cross-functional teams and key stakeholders.
  • High level of innovative ability, agility with high energy for continuous learning.
  • Highly self-motivated and results focused, with track record of value delivery through technical innovation
  • Ability to communicate effectively at multiple levels covering project technical details or progress and impact updates to key stakeholders
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Medical #LI-PFE


Job Detail

  • Job Id
    JD2136183
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Sholinganallur, Chennai, Tamil Nadu, India
  • Education
    Not mentioned
  • Experience
    Year

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