Biopharma CMC Solution Engineer and Sales Support

Aventior is hiring a Biopharma CMC Solution Engineer and Sales Support to bring biopharma subject matter expertise to sales, pre-sales, solution consulting, and business development. The role supports customer discussions and demonstrations, identifies digital transformation opportunities, and collaborates with technology and data teams to shape and position solutions for biopharma clients.

Responsibilities:

• Provide subject matter expertise across biopharmaceutical process development, large-molecule therapeutics, manufacturing operations, QA/QC, and MSAT
• Understand biopharmaceutical development and manufacturing workflows, including upstream and downstream processing, scale-up, technology transfer, process characterization, and process optimization
• Demonstrate familiarity with GMP environments, quality systems, validation, deviations, CAPA, change control, batch documentation, and regulatory compliance
• Understand analytical testing, laboratory workflows, quality control processes, and manufacturing performance requirements
• Identify operational challenges, process inefficiencies, compliance gaps, and opportunities for improvement across biopharma value chains
• Partner with sales and business development teams to identify opportunities within pharmaceutical, biotechnology, and biopharmaceutical organizations
• Participate in customer discovery calls, stakeholder meetings, technical discussions, and requirement-gathering sessions
• Understand client business objectives, operational challenges, and technology requirements to recommend suitable solutions
• Support sales teams in positioning Aventior's technology services, data solutions, AI/ML capabilities, and digital transformation offerings
• Contribute domain expertise to sales strategies, account planning, opportunity qualification, and solution positioning
• Deliver domain-focused presentations, solution walkthroughs, and demonstrations for prospective clients and existing customers
• Translate complex biopharma workflows and technical concepts into clear business use cases and solution narratives
• Develop industry-specific scenarios demonstrating how technology can improve process efficiency, quality, manufacturing performance, and decision-making
• Support the preparation of proof-of-concept (POC) demonstrations, pilot initiatives, and solution validation activities
• Address customer questions related to biopharma processes, domain requirements, solution applicability, and business value
• Identify opportunities to apply data science, advanced analytics, AI/ML, and GenAI to biopharmaceutical development and manufacturing
• Understand use cases involving process data analysis, manufacturing analytics, process monitoring, predictive maintenance, quality analytics, and process optimization
• Collaborate with data science and engineering teams to translate domain problems into analytical use cases and technical requirements
• Support the development of use cases involving process data integration, laboratory data, manufacturing data, quality data, and operational reporting
• Evaluate how digital solutions can support data-driven decision-making, process understanding, operational efficiency, and quality improvement
• Help ensure proposed solutions reflect relevant biopharma workflows, data requirements, and regulatory considerations
• Contribute to technical proposals, solution presentations, statements of work, RFP/RFI responses, and other pre-sales documentation
• Translate client requirements into functional requirements, business use cases, and solution specifications
• Collaborate with technology, data engineering, AI/ML, and delivery teams to assess solution feasibility and scope, especially for CPV-Auto and its related products
• Provide domain inputs for solution architecture discussions, implementation approaches, project estimates, and delivery planning
• Develop reusable industry-specific presentations, case studies, use cases, and sales enablement materials
• Build credibility with stakeholders across process development, manufacturing, MSAT, QA/QC, laboratory operations, data science, and digital transformation
• Facilitate discussions between business stakeholders and technical teams to establish a shared understanding of requirements
• Explain the business impact, operational benefits, and potential limitations of proposed solutions
• Gather customer feedback and identify emerging business needs, industry trends, and opportunities for service expansion
• Support client relationship development and contribute to long-term business growth
• Work closely with sales, pre-sales, engineering, data science, AI/ML, and delivery teams
• Provide domain guidance during solution design, proof-of-concept development, and customer presentations
• Validate the relevance of proposed use cases against actual biopharma processes and customer requirements
• Stay informed about developments in biopharmaceutical manufacturing, quality systems, digital transformation, and data-driven operations

Requirements:

• 5+ years of experience in the biopharmaceutical, c pharmaceutical, or life sciences industry, with relevant experience in process development, manufacturing, QA/QC, MSAT, or related functions
• Strong subject matter expertise in one or more of the following areas, with working knowledge of the broader biopharma value chain:
• Process Development: Upstream and downstream processing, process characterization, scale-up, process optimization, and technology transfer
• Large Molecules: Biologics, monoclonal antibodies (mAbs), recombinant proteins, and other relevant large-molecule modalities
• Manufacturing: Biopharmaceutical manufacturing operations, GMP practices, batch processes, production workflows, and manufacturing performance
• Quality Assurance (QA) / Quality Control (QC): Quality management systems, deviations, CAPA, change control, validation, analytical testing, and compliance documentation
• MSAT: Manufacturing process support, technology transfer, process validation, troubleshooting, process monitoring, and continued process verification
• Data Science and Analytics: Understanding of data analysis, statistical methods, process data, manufacturing analytics, and AI/ML applications in life sciences
• Ability to connect biopharma business and operational challenges with technology-enabled solutions
• Experience in customer-facing roles, pre-sales, solution consulting, technical consulting, business development support, or industry-focused presentations
• Strong communication, presentation, stakeholder management, and problem-solving skills
• Ability to explain complex scientific, manufacturing, quality, and data-related concepts to technical and non-technical audiences
• Experience collaborating with multidisciplinary teams across scientific, operational, commercial, and technology functions
• 5+ Years