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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Pharma / Biotech |
| Functional Area | Sales / BD,Bio Tech / R&D / Scientist |
| EmploymentType | Full-time |
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.ResponsibilitiesProvide expert advanced modelling and data analytics support to all teams in Manufacturing Intelligence organisation and in support of project execution at manufacturing sites.Translate business requirements into tangible solution specifications and high quality, on time deliverablesProvide data manipulation/transformation, model selection, model training, cross-validationand deployment support at scaleSupport development, testing, deployment and qualification of process soft sensor modelsSupport development, testing & validation of hybrid models using first-principle mathematical modelling combined with Machine learningWork with manufacturing sites stakeholders, analyse & solve business problems using Machine learning & Artificial Intelligence capabilities & support deployment on cloud platformStay 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 Data Science experience for candidates with Post-graduation degree (MS/M.Tech) and 1 year for Ph.Ds with thesis/project in biopharmaceutical, chemical or other relevant fieldFirst principle and hybrid-model development (including soft sensors), background in reaction kinetics, mass & heat transfer (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 (must have)Continuous process verification (CPV) & exposure on Informa or similar platformIntelligent and dynamic scheduling platforms experienceData science/ML and AI experience including Scikit-Learn, TensorFlow and PyTorch libraries will be added advantageDeployment of Python codes on cloud platform for real-time execution, good to haveTechnical knowledge of pharmaceutical manufacturing unit operations and experience of delivery of innovative solutions in a regulated environmentQualificationMasters or PhD in Chemical Engineering, Data Science, Statistics, Applied Mathematics, Computer Science or related technical field.SkillsPython (Scikit-Learn, TensorFlow, PyTorch libraries), PharmaMV, SIMCA, OSI PI, Informa.Location: FlexiblePfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Medical,
Keyskills :
machine learningpythondata analysissqlanalyticsmodel predictive controladvanced process controlequal employment opportunityprocess analytical technology