Computational Modeling Consultant - CMC (AI/ML)

Location: Hybrid role based in Chicago, Evanston, New York, Princeton, Philadelphia, Boston, or another United States location listed for the position. Work combines home-based work with on-site presence at client or hirify.global offices. Client-facing travel is required as needed.

Salary: $160,000–$177,000 per year, plus potential cost-of-living adjustments, bonuses, relocation benefits, insurance, and retirement benefits.

Company

hirify.global is a management consulting and technology firm combining data, science, technology, and human ingenuity to develop solutions for pharmaceutical and other life-sciences clients.

What you will do

• Identify high-value opportunities for computational modeling, advanced analytics, and AI/ML across pharmaceutical CMC, 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.
• Build hybrid and AI/ML models to improve process understanding, prediction, optimization, and decision-making.
• Translate scientific and business questions into modeling strategies, analytical approaches, and implementation plans.
• Develop production-ready modeling solutions, including testing, deployment, documentation, versioning, validation, and lifecycle management.
• Lead technical workstreams, integrate models with ELN, LIMS, ERP, and PLM systems, and communicate findings to scientists, engineers, and senior CMC stakeholders.

Requirements

• Bachelor’s, Master’s, or PhD in chemical engineering, mechanical engineering, materials science, chemistry, biotechnology, computational science, or a related quantitative discipline.
• At least five years of relevant experience, preferably in pharmaceutical CMC, process development, manufacturing, or a closely related field.
• Hands-on experience with first-principles or mechanistic modeling, such as CFD, DEM, computational chemistry, or process modeling.
• Experience applying AI/ML to scientific, engineering, or process development problems, with strong programming and production-quality code development skills.
• Strong understanding of pharmaceutical CMC, including unit operations, Quality by Design, technology transfer, process validation, critical quality attributes, and regulatory milestones.
• Fluency in English and authorization to work in the United States without current or future employer sponsorship are required.

Nice to have

• Advanced degree in an engineering, scientific, or computational discipline.
• Experience deploying computational models into production or decision-support environments.
• Experience with CMC regulatory submissions, model validation, traceability, and documentation.
• Experience across multiple pharmaceutical modalities, including small molecules, biologics, or cell and gene therapies.
• Consulting or client-facing experience in pharmaceutical R&D, CMC, or manufacturing.

Culture & Benefits

• Cross-functional skills development, custom learning pathways, and milestone training programs.
• Career progression opportunities through internal mobility, individual contribution, and role expansion.
• Comprehensive benefits supporting health, well-being, financial security, time away, and professional development.
• Collaborative work with multidisciplinary teams across process development, data science, engineering, manufacturing, and technology.
• Flexible hybrid work combining home-based work with on-site collaboration.

Hiring process

• Submit an online application with a complete set of official or unofficial academic transcripts.