Job Description

Manufacturing Intelligence organization within Pfizer\xe2\x80\x99s Global Technology & Engineering (GTE) drives Pfizer Global Supply toward \xe2\x80\x98Industry 4.0\xe2\x80\x99 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 Science) is responsible for providing expert advanced data analytics and modelling support. This team works 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.

The role offers flexibility to work remotely

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

Provide data manipulation/transformation, model selection, model training, cross-validation and deployment support at scale

Support development, testing, deployment, and qualification of process soft sensor models

Support development, testing & validation of hybrid models using first-principle mathematical modelling combined with Machine learning

Work with manufacturing sites stakeholders, analyze & solve business problems using Machine learning & Artificial Intelligence capabilities & support deployment on cloud platform

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 Pfizer Global Supply (PGS)

Desired profile of the candidate

Minimum 3 years\xe2\x80\x99 Data Science experience for candidates with Post-graduation degree (MS/MTech) and 1 year+ for Ph.Ds. with thesis/project in Chemical, Bioprocess Modeling or other relevant field

First principle and hybrid-model development (including soft sensors), background in reaction kinetics, mass & heat transfer or Bioprocess modeling (must have)

Experience of working on Science/Physics informed machine/deep learning models (must have)

Data science/ML and AI experience with hands on Scikit-Learn, TensorFlow and PyTorch libraries exposure. (must have)

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 (good to have)

Continuous process verification (CPV) & exposure on Tibco Informa or similar platform (good to have)

Deployment of Python codes on cloud platform for real-time execution (good to have)

Intelligent and dynamic scheduling platforms experience

Technical knowledge of pharmaceutical manufacturing unit operations and experience of delivery of innovative solutions in a regulated environment

Qualification

Masters or PhD in Chemical Engineering, Bioprocess Modeling , Data Science, Statistics, Applied Mathematics, Computer Science or related technical field.

Attributes:

Ability 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 resultsfocused, 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

Manage multiple projects and priorities efficiently

Location: Flexible
Work Location Assignment: Remote

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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Pfizer