Biopharma CMC Solution Engineer and Sales Support

Compensation: No equity

Designation: Biopharma CMC Solution Engineer and Sales Support Preferred Experience: 5+ Years Location: US or India

Job Summary We are looking for an experienced Subject Matter Expert (SME) with strong domain knowledge across biopharmaceutical process development, large molecules, biologics, biopharma manufacturing, CMC, Tech Transfer, Quality Assurance (QA), Quality Control (QC), Manufacturing Science and Technology (MSAT), and data science. The ideal candidate will combine hands-on biopharma industry experience with strong communication, presentation, and customer engagement skills to support sales, pre-sales, solution consulting, and business development activities. The candidate will work closely with sales, business development, data science, and technology teams to understand client challenges, identify business opportunities, and translate complex biopharma processes into relevant technology-enabled solutions. The role requires the ability to participate in client discussions, deliver domain-specific presentations and solution demonstrations, identify opportunities for digital transformation, and support the positioning of data engineering, analytics, AI/ML, and other technology solutions within the biopharma and life sciences industry.

Key Responsibilities 1. Biopharma Domain Expertise

• 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. 2. Sales and Pre-Sales Support
• 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. 3. Solution Demonstrations and Customer Presentations
• 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. 4. Data Science, Analytics, and Digital Transformation
• 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. 5. Proposal and Solution Development Support
• 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. 6. Client Engagement and Stakeholder Management
• 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. 7. Cross-Functional Collaboration
• 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.

Required Skills & Qualifications

• 5+ years of experience in the biopharmaceutical, biotechnology, 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.

Company Overview: Aventior is a leading provider of innovative, end-to-end technology solutions, empowering businesses across diverse industries to solve complex challenges and accelerate growth. We harness the power of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), MLOps, and DevOps to build scalable, future-ready solutions that drive measurable business outcomes for the biopharma and the life sciences industry. Our expertise extends across the entire data lifecycle. We offer comprehensive data development and management services, including cloud data architecture, universal data models, Data Transformation & ETL, data lakes, user management, Analytics & visualization, and automated data capture for unstructured and semi-structured sources such as scanned documents. These capabilities enable organizations to unlock the full value of their data and make faster, more informed decisions.

About CPV-AUTO platform The CPV-AUTO platform is designed to support diverse teams across the manufacturing industry through an integrated suite of modules that streamline data transcription, investigation, statistical analysis, and reporting-all within a single platform. The platform converts data from scanned PDFs into structured, analysis-ready formats that can be seamlessly used for downstream analytics or pushed into customer databases. To support this process, the CAM module provides customers with a centralized portal to review audit trails for investigations, search parameters across multiple batches, and identify deviations efficiently. Beyond data transcription, the platform enables statistical analysis of process performance, comprehensive reporting, and executive-level dashboards, providing valuable insights into performance metrics across batches and products. These capabilities help teams make informed, data-driven decisions with greater visibility into their operations.