WNS Global Services

Pharma & Life Sciences

DataVerificationManufacturing&QAPharma&LifeSciences

Gurgaon, India FULL TIME
The Brief

“Data Verification - Manufacturing & QA - Pharma &LifeSciences at WNS Global Services. Skills: Data verification, Formulation documents, Quality documentation, GxP compliance. 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”

What You'll Achieve.

Establish GxP compliant documentation; Ensure GxP compliance of the review process; Deliver timely feedback to the AI product team

Industry & Context.

Pharma & Life Sciences
Problems you'll solve

Critical thinking; Ability to assess accuracy of information gathered, data gaps if any and steps to plug in the data gaps

What They're Looking For.

Must Have

Master’s in Pharmaceuticals/PhD with relevant post-qualification experience in the formulation and quality documentation, 6-8 years of post-qualification experience in handling formulation documents, Postgraduate degree (preferably Pharma, Life sciences) with a deep understanding of formulation and quality documentation, 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, Postgraduate degree with a specialization in formulation and quality documentation or a related field, 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, 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

Nice to Have

PhD with relevant post-qualification experience in the formulation and quality documentation

What You'll Do.

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

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

How You'll Work.

Team & Collaboration

Collaborate with the team; Good interpersonal communication; Professional conduct; Actively participate in team related activities; Flexibility to work on cross-team projects across all domains

Communication Scope

Good interpersonal communication; Clear/concise and effective communication

Process & Methodology

Solid foundation in raw material, finished product, and project management, with the ability to apply these skills across data verification process

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