Senior Data Verification Specialist - Pharmaceutical Manufacturing and Quality Assurance

Data Verification - Manufacturing & QA - Pharma &LifeSciences

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Qualification:

Master’s in Pharmaceuticals/PhD with relevant post-qualification experience in the formulation and quality documentation.

Experience:  6-8 years of post-qualification experience in handling formulation documents.

Min. Qualification required to man the position:  Postgraduate degree (preferably Pharma, Life sciences) with a deep understanding of formulation and quality documentation.

ROLE DESCRIPTION

• Strong understanding of formulation and quality documents (e.g. Master Formula Card, Specifications etc) and hands-on experience in data verification
• Validate the data extracted from various documents using a tool and transfer of information into the required format in accordance with GxP standards

 

Key Responsibility Indicators          

• Assist in establishing GxP compliant documentation for the entire process including data extraction from unstructured data sources followed by verification of the extracted data
• Lead the team of associates engaged in data verification
• Provide timely feedback to the AI product team for data deficiencies in data extraction
• Thorough review of formulation documents including MFC, product specification and raw material specification
• Understand the content highlight variations within a set of given documents
• Word-to-Word verification of AI generated output in tabular format against the data available in source documents
• Ensure GxP compliance of the review process

People Related:

• Team work - Collaborate with the team, good interpersonal communication, professional conduct, actively participate in team related activities

Process Related:

• Domain Expertise - Demonstrating expertise or quickly gaining knowledge and building expertise in an area of interest
• Efficiency –Critically evaluate information and organize data for analysis and maintain data records
• Accuracy - Ability to assess accuracy of information gathered, data gaps if any and steps to plug in the data gaps

Presentation of reports – Good documentation knowledge with well- structured and formatted content, correct usage of English language, usage of right templates and audience-appropriate representations.

 

Must have:

• Postgraduate degree with a specialization in formulation and quality documentation or a related field
• Strong understanding of formulation and quality documents along with the databases where these documents are managed
• Hands on experience in validating the data available in the documents such as Master Formula Card, Specifications etc and databases where these are documents are managed
• Ability to verify AI generated outputs with the information available in source documents.
• Solid foundation in raw material, finished product, and project management, with the ability to apply these skills across data verification process

• Knowledge on MS Office (esp. Word and basic Excel)
• Knowledge of Databases containing formulation and quality documentation
• Must exhibit following core behaviors:
  • Taking ownership / accountability of the projects assigned
  • Flexibility to work on cross-team projects across all domains
  • Attention to details
  • Clear/concise and effective communication
  • Critical thinking
  • Self-motivated, able to work autonomously and self-disciplined

 

Qualifications

• Master’s in Pharmaceuticals/PhD with relevant post-qualification experience in the formulation and quality documentation

Experience Level

Senior Level