Scientist IV, Product Support
Listed on 2026-07-27
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Quality Assurance - QA/QC
Regulatory Compliance Specialist, Data Analyst
We’re in relentless pursuit of breakthroughs that change patients’s lives. We innovate every day to make the world a healthier place.
To fully realize Pfizer’s purpose – Breakthroughs that change patients’s lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.
Pfizer Global Supply proudly shoulders the responsibility of manufacturing and distributing our wide-ranging pharmaceutical products.
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
Transforming Delivery of high quality products
Pfizer, We are one
PGS - Manufacture the Future
The qualified candidate will provide technical support for biotherapeutic products within Quality Control Product Technical Support in Andover, MA. Qualified candidate will have proven organizational and communication skills as well as comprehensive expertise, including hands‑on in relevant analytical technologies. In this role, you will be responsible for managing and facilitating analytical activities throughout the life cycles of biological products. This involves collaborating with cross‑functional teams to achieve site objectives, providing analytical support of products and processes, assisting with regulatory submissions and responses, as well as authoring and reviewing technical documentation.
WhatYou Will Achieve
In this role, you will:
Authoring and reviewing GMP documents and reports
Overseeing qualifications, assessing period of use and managing extension of reference materials
Supporting change control, reagent study and instrument validation, as well as fulfilling commitments
Authoring periodic review of method validations and annual product reviews.
Managing method improvement, new technology implementation and lifecycle activities
Facilitating and performing method qualifications / validations / verifications, method transfers, and comparability studies
Providing audit support for Board of Health inspections and regulatory responses
Ensuring adherence to timelines and deliverables to support product manufacturing
Identifying continued improvement (CI) opportunities, resolving technical issues and monitoring the methods of products
Participating in investigations / root cause analysis and resolution regarding analytical issues
Collaborating across functional areas and other Pfizer Biotech Network sites
BA/BS with at least 6 years of experience or MBA/MS with at least 4 years of experience or PhD/JD with any years of experience
Proficiency in handling current MS Office Applications
Excellent written and verbal communication skills
Strong interpersonal abilities
Solid understanding of US, EU, and ROW cGMP & GLP and auditing procedures
Possesses an in-depth understanding of protein characterization and production processes.
Has prior experience in method improvement, including designing studies to enhance method robustness
Displays extensive knowledge in protein analysis techniques, including HPLC/UPLC, peptide mapping, CE/gel, carbo analysis, ICE, and UV.
Experience with ELISA and bioassay methodologies is considered advantageous.
Knowledge of industry standards and ICH, and applicable guidelines in validation and life cycle management
Validation experience
Experience in laboratory automation
Experience with project management tools, including stakeholder management
Strong problem‑solving skills
Ability to work collaboratively in a team environment
Excellent organizational and time management skills
Experience in a leadership role within a laboratory setting
Knowledge of regulatory requirements and quality standards
Ability to mentor and develop junior team members
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use
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