ZS is seeking a Computational Modeling Expert to help pharmaceutical clients apply advanced modeling, simulation, and AI/ML to complex CMC and process development challenges. In this role, you will combine deep scientific and engineering expertise with first-principles and data-driven modeling to improve process understanding, accelerate development, support scale-up and technology transfer, and enable more informed decision-making. You will work closely with scientists, engineers, data teams, and senior CMC stakeholders to translate complex technical questions into scalable computational solutions that can be integrated into real-world scientific and manufacturing workflows. What You'll Do - Partner with pharmaceutical CMC clients to identify high-value opportunities for computational modeling, advanced analytics, and AI/ML across process development, scale-up, manufacturing, and technology transfer. - Develop and apply first-principles and mechanistic models, including CFD, DEM, computational chemistry, and other physics-based approaches, to solve complex CMC and process development challenges. - Build and apply AI/ML models that complement first-principles approaches and improve process understanding, prediction, optimization, and decision-making. - Translate scientific and business questions into modeling strategies, analytical approaches, and implementation plans. - Assess available experimental, process, and manufacturing data and determine the appropriate data, modeling methods, and computational techniques required to address client needs. - Develop robust, reusable, and production-ready modeling solutions, including code development, testing, deployment, documentation, versioning, and ongoing model lifecycle management. - Integrate computational models with relevant CMC data sources and systems, including ELN, LIMS, ERP, and PLM platforms. - Interpret modeling results and translate complex technical findings into clear recommendations for scientists, engineers, and senior CMC leaders. - Support model validation, adoption, and integration into scientific and operational workflows. - Apply modeling expertise across modalities and manufacturing processes, adapting approaches to new scientific and technical challenges as needed. - Lead technical workstreams and collaborate with multidisciplinary teams across process development, data science, engineering, manufacturing, and technology. - Contribute to the development of ZS capabilities, methodologies, and reusable assets in computational modeling and digital CMC. What You'll Bring - Bachelor's, Master's, or PhD in Chemical Engineering, Mechanical Engineering, Materials Science, Chemistry, Biotechnology, Computational Science, or a related quantitative or scientific discipline. - At least 5 years of relevant experience, preferably within pharmaceutical CMC, process development, manufacturing, or a closely related environment. - Hands-on experience developing first-principles or mechanistic models, such as CFD, DEM, computational chemistry, process models, or other physics-based modeling approaches, for pharmaceutical process development or manufacturing. - Experience developing and applying AI/ML models to scientific, engineering, or process development problems. - Strong programming skills and experience developing production-quality modeling code and managing models across their lifecycle. - Strong understanding of pharmaceutical CMC concepts, including unit operations, process development, Quality by Design, technology transfer, process validation, critical quality attributes, and development and regulatory milestones. - Experience working with scientific and manufacturing data and familiarity with systems such as ELN, LIMS, ERP, or PLM. - Ability to combine first-principles modeling, data-driven modeling, and domain expertise to solve complex scientific and engineering problems. - Ability to translate modeling approaches and technical results into clear business and scientific recommendations. - Experience communicating with senior scientific, technical, and business stakeholders. - Ability to lead multiple technical workstreams and effectively manage priorities, timelines, and deliverables. - Ability to apply expertise developed in one modality or process area to new modalities and scientific contexts. - Fluency in English - Client-first mentality - Intense work ethic - Collaborative spirit and problem-solving approach Preferred Qualifications - Advanced degree in a relevant engineering, scientific, or computational discipline. - Experience with hybrid modeling approaches that combine mechanistic models with AI/ML. - Experience deploying computational models into production or decision-support environments. - Familiarity with CMC regulatory submission requirements and expectations for model validation, traceability, and documentation. - Experience across multiple pharmaceutical modalities, such as small molecules, biologics, cell and gene therapies, or other advanced therapies. - Consulting or client-facing experience in pharmaceutical R&D, CMC, or manufacturing. How you'll grow: - Cross-functional skills development & custom learning pathways - Milestone training programs aligned to career progression opportunities - Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.