Formulation Data Specialist Job in Bengaluru at Bayer

Bayer is hiring for the role of Formulation Data Specialist!

Responsibilities of the Candidate:

• Review documents, such as product specifications (divisional systems), safety data sheets (SDS), and product dossiers, to extract relevant formulation information.
• Conduct in-depth analysis of formulations and properties to ensure accuracy, completeness to meet the industry and regulation requirements e.g. nutritional claim, allergen, diet suitability etc.
• Enter and organize formulation data in Excel spreadsheets, following established formats and guidelines.
• Create bulk general recipes using Bill of Materials (BOM) from ERP to ensure seamless data transfer between product development and manufacturing.
• Collaborate with cross-functional teams, including R&D, regulatory, product supply, and quality control, to address data-related inquiries and provide accurate and timely information.
• Identify opportunities for process improvement and contribute to the development and implementation of the best data management practices.
• Develop and implement best practices for data governance following GxP documentation requirements.
• Support data migration, cleansing, and validation efforts for new formulations, raw materials, and product updates.

Requirements:

• Bachelor’s degree in chemistry, pharmacology or a related scientific field. A master's degree is preferred.
• Proven experience working with chemical ingredients and formulations, preferably in a consumer health, pharmaceutical, or related industry.
• Strong knowledge of chemical and formulation nomenclature, properties, and interactions.
• Proficiency in reading and understanding scientific technical documents, including safety data sheets (SDS), certificates of analysis (CoA), product dossiers and product specifications.
• Familiarity with regulatory frameworks and guidelines governing consumer health, pharmaceutical and crop science products.
• Excellent research and analytical skills, with the ability to gather and synthesize information from multiple sources.
• Ability to organize and manipulate data in Microsoft Excel
• Detail-oriented with a high level of accuracy and ability to work independently under minimal supervision.
• Strong communication skills to collaborate effectively with cross-functional teams and present data-driven insights.
• Ability to manage multiple tasks and prioritize workload to meet deadlines in a fast-paced environment.
• Familiarity with SAP PLM (Product Lifecycle Management) software is an advantage, but not a mandatory requirement.