Senior Scientist, Sterile Injectables Design
Pfizer
Full time- 5+ years
- Not Disclosed
- Chennai, India
- Post Date: Mar 06, 2024
- End Date: May 06, 2024
- 5+ years
- Not Disclosed
- Chennai, India
- Post Date:Mar 06, 2024
- End Date: May 06, 2024
Skills:
- clinical research
- Operations
- Inspection
- Management
Job Description:
Responsibilities
- Supporting and coordinating activities for SID Predictive Sciences by orchestrating activities across four work streams that include Digital Design, Digital Lab, Digital Manufacturing and Data Core.
- Work with Pfizer scientists to develop understanding of material properties, dosage form identification, stability, and manufacturing processes used in SI dosage form design and manufacture (liquids, suspensions, emulsions, lyophilized products, combination products, etc.) and apply material characterization and computational tools in support of formulation and process design, optimization, and troubleshooting, and dosage form quality attributes.
- Coordinate activities to identify opportunities to use engineering knowledge and computational tools to help solve complex project challenges. Be able to work in matrix environment supporting a team of scientists with minimal supervision, to define the problem statement, then develop and execute a modeling work plan to solve the issue.
- Using a variety of computational techniques, develop predictive tools and models to support drug development/manufacturing efforts for the Pfizer portfolio. Modeling techniques include (but are not limited to): discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets, statistical techniques, population-balance models (PBM), and first-principles engineering models.
- Partner and influence Sterile Injectable Design teams through late-stage project and co-development milestones to incorporate design thinking into program activities, including clinical (when appropriate) and commercial formulation identification and process selection, stability risk assessments, products manufacturing, technology transfer to commercial sites, and/or registration activities. Communicate and manage technical and business risks to senior management.
- Work with global colleagues / leaders to promote application of computational models and digital tools in SI products development workflows.
- Drive the development of state-of-the-art computational modeling and characterization tools. Summarize, communicate, and/or present results internally and externally at leading scientific conferences and scientific journal publications. Present scientific results to a diverse audience through engaging data analysis and visualizations.
- Work with external partners (e.g., universities, research organizations) and vendors (e.g., software companies) to execute and deliver well-defined modeling or characterization projects.
- Develop and deploy Predictive / Data Science workflows across SID in support of project objectives. Develop and maintain best practices for digital activities in SID through a network of key internal and external experts. Report regularly to SID Leaders / Digital Sponsors.
- Establish long-term and short-term objectives for the projects he/she leads.
- Establish an effective framework that will support and ensure the broader adoption of Predictive / Data Sciences and Solutions within SID workflows. Partner with SID leaders in securing the right resources to integrate Digital accelerators within the respective workflows.
Qualification & Experience
- Doctorate degree (Ph.D.) in Chemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, Physics or Physical Sciences, or related discipline, with relevant educational background in computational modeling (experience with CFD, FEA or other numerical analysis, with an ability to work with a mainstream CFD software).
- At least 5 years’ research experience in a related industrial/academic setting with a minimum of 2 years of relevant experience in pharmaceutical or related industry. Research must be focused on computational modeling applied to fluid flows and/or multiphase flows.
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Salary
Not Disclosed
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Role
Scientist
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Area of Practice
- Clinical Operations
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Experience
5+ years
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