Associate Scientist/Data Reviewer

Conducts data review and data integrity verification prior to submission of R&D data records to Quality Assurance (QA) for review and release. Leads data verification, documentation review, drafts summary reports, and creates data visualizations from laboratory data. Maintains and uploads R&D documents in document management systems. Performs activities in accordance with Standard Operating Procedures (SOPs) and ensures technical and quality standards are met.

Essential Duties and Responsibilities

• Lead the organization, maintenance, and control of documentation and records for R&D product development activities.
• Perform technical review of documents, data verification, and preparation of reports and visual summaries.
• Ensure data integrity and accuracy of documents and data prior to submission of R&D data records to QA for review and release.
• Maintain and upload R&D documents in document management systems.
• Coordinate routine project activities, documentation, materials, and communications with internal teams and external partners.
• Participate in meetings, maintain accurate records, and follow up on assigned action items.
• Support project timelines and proactively contribute to team objectives.
• Build and maintain effective working relationships with cross-functional colleagues and external partners.
• Perform other duties as assigned while complying with applicable policies, procedures, SOPs, and quality requirements.

Qualifications

• Bachelor’s degree, preferably in Chemistry, Chemical Engineering, Pharmacy, Forensic Sciences, or a related field.
• 3 years of relevant work experience in a cGMP-regulated environment is required.
• Familiarity with analytical methodologies, laboratory practices, and wet chemistry.
• Familiarity with laboratory equipment such as HPLC/UPLC, UV-Vis, GC, and related analytical instrumentation.
• Familiarity with manufacturing or manufacturing process equipment used in laboratory environments, such as liquid manufacturing equipment and powder blenders, is a plus.
• Strong organizational skills with the ability to manage multiple priorities and deadlines in a fast-paced environment.
• Proficiency in Microsoft Excel, Word, and PowerPoint is required.
• Experience with document management systems is a plus.
• Experience with statistical analysis applications is a plus.
• Strong written and verbal communication skills in English are required.

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